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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. 14710
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    INDEX
    Explanations

    proper nouns related to people and places

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or entity name

    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
    ration
    -0.87
    gment
    -0.79
    ging
    -0.76
    mination
    -0.73
    veh
    -0.72
    aging
    -0.72
    rations
    -0.72
    outs
    -0.71
    eness
    -0.71
    tering
    -0.68
    POSITIVE LOGITS
    swer
    0.71
     "$:/
    0.71
    aic
    0.70
     NEXT
    0.68
    yip
    0.67
     Municip
    0.66
    iversal
    0.65
     Leilan
    0.65
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.64
    iated
    0.63
    Activations Density 0.258%

    No Known Activations