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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. 16876
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    Explanations

    mentions of physical disabilities or accessibility features

    oai_token-act-pair · gpt-3.5-turbo

    references to disability

    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
    furt
    -0.90
    uin
    -0.90
    ablishment
    -0.87
    akeru
    -0.80
    apest
    -0.78
    alg
    -0.75
    andum
    -0.74
    orial
    -0.73
     Elections
    -0.73
    hens
    -0.72
    POSITIVE LOGITS
    locked
    0.78
    own
    0.77
    river
    0.74
     horm
    0.72
    locking
    0.72
     bay
    0.69
     disabled
    0.68
    utsche
    0.68
     aback
    0.67
    iron
    0.63
    Activations Density 0.035%

    No Known Activations