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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. 16915
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    Explanations

    sequences related to coding or programming

    oai_token-act-pair · gpt-3.5-turbo

    specific references to versions or iterations of something, likely a product or software program

    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
    ortunately
    -0.60
    aution
    -0.55
    afety
    -0.54
    anwhile
    -0.51
     Pengu
    -0.51
     Muse
    -0.51
     Cosponsors
    -0.50
    untled
    -0.49
     Volunte
    -0.48
    ometimes
    -0.48
    POSITIVE LOGITS
    oried
    0.55
     Appears
    0.50
    parent
    0.50
     canoe
    0.49
    -+
    0.49
     respectively
    0.48
    tails
    0.48
    idas
    0.48
     tile
    0.47
    tie
    0.47
    Activations Density 1.070%

    No Known Activations