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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. 3-RES-JB
    11. 5970
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    Explanations

    proper nouns or specific names

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating familiarity or recognition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orph
    -0.65
    riad
    -0.62
     Crus
    -0.62
     McGr
    -0.61
    biz
    -0.61
    mental
    -0.60
     Laboratories
    -0.60
    RC
    -0.60
    rising
    -0.60
    development
    -0.59
    POSITIVE LOGITS
    anwhile
    0.76
     toast
    0.71
    sheet
    0.70
     electors
    0.66
    CAST
    0.64
    igmat
    0.63
     honoured
    0.63
     aven
    0.62
    wcs
    0.61
    VIDIA
    0.61
    Activations Density 0.000%

    No Known Activations