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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. 6707
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    Explanations

    references to hate speech and hate crimes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of hate-related language and themes

    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
    aver
    -0.80
    aird
    -0.78
    UNCH
    -0.74
    ature
    -0.73
    agers
    -0.72
    idge
    -0.71
    atel
    -0.71
    assetsadobe
    -0.70
    amina
    -0.69
    ager
    -0.68
    POSITIVE LOGITS
     crimes
    1.16
     speech
    1.12
    fulness
    1.05
     Speech
    1.01
     crime
    1.00
    fully
    0.96
    speech
    0.95
     preacher
    0.93
     Crimes
    0.89
    crime
    0.88
    Activations Density 0.050%

    No Known Activations