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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. 8-RES-JB
    11. 12600
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    INDEX
    Explanations

    ambiguous or emotionally charged expressions

    oai_token-act-pair · gpt-3.5-turbo

    exclamation marks or expressions of strong emotional reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atories
    -0.78
    athering
    -0.74
    reen
    -0.72
    ativity
    -0.69
    atory
    -0.68
    cible
    -0.65
    oult
    -0.64
    ator
    -0.64
     habit
    -0.64
     utilitarian
    -0.63
    POSITIVE LOGITS
    !!!!!
    1.29
    !!!
    1.21
    !!
    1.16
    !/
    1.04
    ?!
    1.03
    !!!!
    0.99
    ??
    0.94
    @#
    0.93
    !"
    0.92
     Please
    0.92
    Activations Density 0.022%

    No Known Activations