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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. 7141
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    Explanations

    items or entities listed in a series

    oai_token-act-pair · gpt-3.5-turbo

    references to rankings or lists

    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
    ufact
    -0.84
     streng
    -0.63
    uala
    -0.63
    dayName
    -0.63
     Lac
    -0.61
    ework
    -0.60
    entimes
    -0.59
     Adin
    -0.59
    sylv
    -0.57
    construct
    -0.57
    POSITIVE LOGITS
     category
    0.80
    elight
    0.78
    isphere
    0.74
     list
    0.73
    liest
    0.69
    ridor
    0.67
    cards
    0.67
    aceae
    0.66
    heon
    0.66
    aws
    0.65
    Activations Density 0.109%

    No Known Activations