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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. 11-RES-JB
    11. 1342
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    Explanations

    numbers or numerical patterns

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers related to video and audio content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    minist
    -0.68
    Redditor
    -0.67
    TPPStreamerBot
    -0.62
    irk
    -0.62
    landers
    -0.58
     experien
    -0.55
     wary
    -0.55
     contingent
    -0.54
     ambassador
    -0.54
    ivities
    -0.54
    POSITIVE LOGITS
     respectively
    1.06
     onwards
    1.01
    ,...
    0.89
    +,
    0.89
     onward
    0.85
     etc
    0.79
    a
    0.78
    +.
    0.78
     inclusive
    0.76
    bis
    0.75
    Activations Density 0.127%

    No Known Activations