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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. 1303
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    Explanations

    adverbs describing the intensity or manner in which an action is performed

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and adverbs that describe intensity or quality

    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
    Pope
    -0.69
    ¶æ
    -0.65
     Milk
    -0.61
     Rav
    -0.60
    abis
    -0.60
    İĭ
    -0.59
    othy
    -0.57
    SourceFile
    -0.56
    CLASSIFIED
    -0.56
    ¼
    -0.55
    POSITIVE LOGITS
    ocating
    0.80
    idious
    0.76
    enos
    0.73
    ymm
    0.71
    ially
    0.70
     collided
    0.69
    ifiable
    0.68
     exceeds
    0.67
    athed
    0.67
     tomat
    0.65
    Activations Density 0.120%

    No Known Activations