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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
    11. 14540
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    Explanations

    mentions of specific individuals and their actions

    oai_token-act-pair · gpt-3.5-turbo

    repetitive use of the verb "was."

    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
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    No Comments

    Negative Logits
     Which
    -0.63
    inav
    -0.60
     Previous
    -0.59
    ological
    -0.59
     Mountains
    -0.58
     Individuals
    -0.57
     Tonight
    -0.57
     Achieve
    -0.56
     Millions
    -0.56
     Extend
    -0.56
    POSITIVE LOGITS
    nt
    1.09
     definitely
    0.96
    wolf
    0.94
     supposed
    0.93
    hes
    0.92
    hers
    0.89
    wolves
    0.87
     not
    0.82
     indeed
    0.81
     deemed
    0.81
    Activations Density 0.429%

    No Known Activations