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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. 6321
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    Explanations

    mentions of monkeys

    oai_token-act-pair · gpt-3.5-turbo

    references to monkeys

    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
    EMP
    -0.77
    sburgh
    -0.77
    oppable
    -0.76
    reek
    -0.76
     Lauder
    -0.75
    RAW
    -0.74
    encers
    -0.73
    ij士
    -0.72
    ENC
    -0.71
    encer
    -0.70
    POSITIVE LOGITS
    pox
    1.06
    patch
    0.91
     wrench
    0.89
     monkey
    0.85
    oleon
    0.84
    frog
    0.81
    sey
    0.80
     monkeys
    0.80
    opard
    0.79
    bird
    0.75
    Activations Density 0.008%

    No Known Activations