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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. 4-RES-JB
    11. 4792
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    Explanations

    references to a person named "Pa" with varying levels of activation

    oai_token-act-pair · gpt-3.5-turbo

    mentions of individuals, particularly with the name "Pa" as a focal point

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

    No Comments

    Negative Logits
    eering
    -1.03
    scape
    -0.91
    schild
    -0.90
    eer
    -0.87
    eenth
    -0.85
    suit
    -0.85
     Carbuncle
    -0.81
    binding
    -0.80
    geist
    -0.79
    dress
    -0.79
    POSITIVE LOGITS
     Pa
    1.04
    ignt
    0.92
    izo
    0.91
    olo
    0.91
    aternal
    0.89
    uter
    0.87
    atern
    0.83
    odcast
    0.83
    ardon
    0.82
    apon
    0.81
    Activations Density 0.009%

    No Known Activations