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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 17603
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    Explanations

    phrases related to group actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate actions or responses associated with reliance on external factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
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    ãĥĻ
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    ãĥĺãĥ©
    -0.82
    é¾
    -0.75
    ãģł
    -0.73
    afety
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    ãĤ©
    -0.73
    ãĤ§
    -0.72
    POSITIVE LOGITS
     lawmakers
    0.95
     policymakers
    0.95
     legislators
    0.88
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     proponents
    0.84
     assailants
    0.83
     prosecutors
    0.83
     Governments
    0.82
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    Activations Density 0.249%

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