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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. 20689
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    Explanations

    keywords related to sanitation and cleanliness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sanitation and hygiene

    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
    raised
    -0.78
    CVE
    -0.77
    hov
    -0.77
    kers
    -0.74
    giving
    -0.70
    iphany
    -0.69
    horn
    -0.68
    ļéĨĴ
    -0.67
    Bu
    -0.66
    Marginal
    -0.66
    POSITIVE LOGITS
    itary
    0.99
    iencies
    0.88
     arrangements
    0.87
     Measures
    0.84
     pige
    0.81
     measures
    0.80
     minded
    0.79
     nap
    0.79
    TY
    0.78
     conditions
    0.75
    Activations Density 0.017%

    No Known Activations