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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. 11-RES-JB
    11. 11654
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    Explanations

    phrases indicating legal actions or involvement in legal procedures

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the word "were" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iosyncr
    -0.76
    matic
    -0.76
    paste
    -0.74
    omatic
    -0.72
    izable
    -0.72
    ization
    -0.69
    do
    -0.68
    lane
    -0.68
     Solution
    -0.67
    lag
    -0.67
    POSITIVE LOGITS
    wolves
    1.39
     regulars
    1.04
     evacuated
    1.00
     collectively
    0.96
     grouped
    0.95
     gathered
    0.94
     guests
    0.92
    wolf
    0.90
     hunters
    0.89
     reunited
    0.89
    Activations Density 0.206%

    No Known Activations