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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. 9560
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    INDEX
    Explanations

    mentions of odds

    oai_token-act-pair · gpt-3.5-turbo

    references to probabilities or odds related to various situations

    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
    artney
    -0.76
    uala
    -0.76
    afort
    -0.74
    Interstitial
    -0.74
    ufact
    -0.74
    ICO
    -0.73
    PB
    -0.72
    Materials
    -0.71
    Contents
    -0.71
    TPP
    -0.68
    POSITIVE LOGITS
     odds
    1.15
     ratio
    0.82
     tack
    0.73
     wisely
    0.72
     worsh
    0.71
     Whedon
    0.70
     collide
    0.70
     ratios
    0.70
     Ukip
    0.69
     against
    0.69
    Activations Density 0.009%

    No Known Activations