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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. 2-RES-JB
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    Explanations

    mentions of the word "lin" with varying activations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "lin" as a substring in words or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.73
     Seym
    -0.72
    rity
    -0.69
     Belief
    -0.69
     Views
    -0.68
    argon
    -0.64
     AQ
    -0.63
     Euph
    -0.63
    kward
    -0.63
     indo
    -0.63
    POSITIVE LOGITS
    eman
    1.04
    ergic
    1.00
    burg
    0.93
    ium
    0.92
     Rouge
    0.89
    quin
    0.89
    emen
    0.87
    strument
    0.86
    berg
    0.85
    uten
    0.85
    Activations Density 0.012%

    No Known Activations