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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. 6-RES-JB
    11. 17450
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    INDEX
    Explanations

    mentions of a wide variety or range of items, conditions, or skills

    oai_token-act-pair · gpt-3.5-turbo

    references to a wide range or variety

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ICAN
    -0.68
    Dialogue
    -0.65
     Maid
    -0.65
    CB
    -0.64
    adobe
    -0.64
    nos
    -0.63
     Uriel
    -0.63
    nces
    -0.63
    illard
    -0.62
    act
    -0.62
    POSITIVE LOGITS
    creen
    1.04
     scope
    0.95
    leaf
    0.91
    spread
    0.88
     wide
    0.86
    open
    0.86
    keye
    0.84
     open
    0.83
    sword
    0.82
     swath
    0.82
    Activations Density 0.021%

    No Known Activations