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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. 6-RES-JB
    11. 15069
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    Explanations

    references to racial groups, particularly focusing on black and white individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to racial groups, particularly blacks and whites, in discussions of social issues

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ulously
    -0.65
     Chaser
    -0.64
     Heist
    -0.64
    QB
    -0.64
    Ground
    -0.63
    arity
    -0.62
    quickShipAvailable
    -0.62
    roller
    -0.61
     Himal
    -0.60
    ellation
    -0.60
    POSITIVE LOGITS
    xual
    0.86
    ervative
    0.86
    paces
    0.83
    folk
    0.82
    pace
    0.82
     assimil
    0.80
    sey
    0.80
    boro
    0.77
    kees
    0.76
    ophone
    0.74
    Activations Density 0.032%

    No Known Activations