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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. 6115
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    INDEX
    Explanations

    superlatives denoting extreme quality or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing superlative or extreme qualities

    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
    resy
    -0.73
    seless
    -0.72
    arity
    -0.70
    ensing
    -0.69
    xia
    -0.69
    ablo
    -0.65
    oute
    -0.65
     Alz
    -0.65
     Tags
    -0.63
     Laos
    -0.63
    POSITIVE LOGITS
     EVER
    0.85
     recorded
    0.83
     imaginable
    0.78
    lasting
    0.77
     ever
    0.75
     heard
    0.75
     seen
    0.75
     dreamed
    0.74
    THING
    0.72
    green
    0.72
    Activations Density 0.017%

    No Known Activations