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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. 1-RES-JB
    11. 4929
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    INDEX
    Explanations

    mentions of professors or scholars

    oai_token-act-pair · gpt-3.5-turbo

    references to academic professionals or professors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sled
    -0.77
    adies
    -0.74
    ads
    -0.73
     nominate
    -0.71
    ppings
    -0.71
    axy
    -0.68
     enduring
    -0.63
     effected
    -0.62
    ints
    -0.62
     qualify
    -0.62
    POSITIVE LOGITS
    Professor
    1.19
     professor
    1.18
     Professor
    1.14
    essors
    1.14
    hesis
    1.00
    itatively
    0.97
     lecturer
    0.96
    essor
    0.95
     professors
    0.92
     economist
    0.91
    Activations Density 0.013%

    No Known Activations