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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. 11270
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    Explanations

    years

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years and numerical values

    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
    raltar
    -0.82
    ledged
    -0.80
    otle
    -0.76
    intosh
    -0.76
    anooga
    -0.73
    etic
    -0.71
    ysical
    -0.70
    achu
    -0.70
    awed
    -0.70
    orius
    -0.70
    POSITIVE LOGITS
    nd
    1.60
    naire
    0.89
    80
    0.85
    ND
    0.82
    ipop
    0.80
    186
    0.78
    160
    0.76
    entary
    0.76
     thirds
    0.76
    ength
    0.75
    Activations Density 0.057%

    No Known Activations