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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. 18162
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    dates referenced in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
    theless
    -0.78
    éĹĺ
    -0.78
    Reviewer
    -0.65
     mad
    -0.63
     Hearts
    -0.63
     wand
    -0.62
     Reincarn
    -0.62
     isolated
    -0.60
     doub
    -0.59
     fore
    -0.59
    POSITIVE LOGITS
    .,
    1.37
    .;
    1.08
    .:
    1.06
    ember
    1.06
    .?
    1.06
    .,"
    1.05
    ./
    1.03
    gor
    1.01
    .),
    0.94
    uary
    0.94
    Activations Density 0.046%

    No Known Activations