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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20434
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    Explanations

    actions or events that are significant or consequential

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to consent and release from confinement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    lad
    -0.62
     deem
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     princ
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    ©¶æ
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    rac
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     teens
    -0.56
     sibling
    -0.53
    uador
    -0.53
     Tav
    -0.53
     Kemp
    -0.52
    POSITIVE LOGITS
    .;
    0.92
    .$
    0.88
    .
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    .:
    0.86
    .,
    0.83
    .#
    0.82
    usercontent
    0.82
    .?
    0.81
    llah
    0.80
    .–
    0.77
    Activations Density 0.363%

    No Known Activations