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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. 14062
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    Explanations

    references to hate-related topics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hate-related topics and crimes

    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
    assetsadobe
    -0.76
     Examination
    -0.73
    UNCH
    -0.73
    clinton
    -0.72
    idges
    -0.68
    æ©Ł
    -0.67
    aver
    -0.67
    alian
    -0.67
     Pione
    -0.66
    ioned
    -0.66
    POSITIVE LOGITS
    fulness
    1.14
     crimes
    1.08
    fully
    1.07
     speech
    0.92
     crime
    0.92
     mobs
    0.86
    bre
    0.84
    ful
    0.83
    crime
    0.83
     vengeance
    0.83
    Activations Density 0.047%

    No Known Activations