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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. 7-RES-JB
    11. 9843
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    Explanations

    verbs related to actively participating or interacting

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "engage" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bey
    -0.74
    etry
    -0.73
    pler
    -0.67
    numbered
    -0.64
    issue
    -0.63
     ported
    -0.61
    opers
    -0.61
    pled
    -0.61
     Printed
    -0.61
    ogen
    -0.60
    POSITIVE LOGITS
    ments
    0.96
    ienced
    0.83
     engaged
    0.82
    lished
    0.80
    TAIN
    0.80
    ENC
    0.76
     engagement
    0.74
    ment
    0.73
    reement
    0.72
    EMENT
    0.72
    Activations Density 0.026%

    No Known Activations