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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. 0-RES-JB
    11. 6482
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    Explanations

    phrases related to influential figures or people in positions of power

    oai_token-act-pair · gpt-3.5-turbo

    terms related to business and economic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cer
    -0.85
     Disp
    -0.79
    Emb
    -0.75
     Cu
    -0.72
     Fet
    -0.70
     cu
    -0.70
     Copper
    -0.70
     Bo
    -0.69
     Fib
    -0.68
     Zeal
    -0.67
    POSITIVE LOGITS
    iegel
    2.86
    coon
    2.55
    anchez
    1.37
    ixties
    1.35
    adiq
    1.29
    nyder
    1.26
    imov
    1.22
    hirt
    1.22
    ixty
    1.20
    berman
    1.19
    Activations Density 0.046%

    No Known Activations