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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. 9-RES-JB
    11. 15825
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    Explanations

    phrases indicating something serves a specific purpose or function

    oai_token-act-pair · gpt-3.5-turbo

    references to roles or functions of objects within contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulous
    -0.68
    chev
    -0.66
    rants
    -0.65
     Rebell
    -0.65
    oes
    -0.65
    olds
    -0.63
    TAIN
    -0.63
    REE
    -0.63
    asking
    -0.60
    ron
    -0.59
    POSITIVE LOGITS
     intermediary
    0.89
     interim
    0.87
     catalyst
    0.83
     liaison
    0.83
     an
    0.82
     collateral
    0.82
     inspiration
    0.81
     adjunct
    0.81
     bait
    0.80
     a
    0.79
    Activations Density 0.077%

    No Known Activations