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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. 4021
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    Explanations

    information or clues that can lead to uncovering a secret or solving a mystery

    oai_token-act-pair · gpt-3.5-turbo

    references to tips, suggestions, or hints regarding 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
    effic
    -0.71
    ndum
    -0.69
     Spears
    -0.68
     NAME
    -0.67
     Recall
    -0.67
    ruciating
    -0.66
     ILCS
    -0.65
     Zed
    -0.63
     Palest
    -0.62
    ITNESS
    -0.62
    POSITIVE LOGITS
     tip
    1.35
    tip
    1.30
     Tip
    0.99
     tips
    0.98
    Tip
    0.97
    tips
    0.93
     jar
    0.90
     tipped
    0.90
     tipping
    0.84
    heet
    0.82
    Activations Density 0.012%

    No Known Activations