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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. 13769
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    INDEX
    Explanations

    phrases indicating significance or relevance

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to significant or noteworthy events and conditions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    bots
    -0.83
    chairs
    -0.80
    =~
    -0.77
    apps
    -0.75
    alysis
    -0.74
    senal
    -0.73
    dogs
    -0.71
    clips
    -0.70
    riages
    -0.70
    masters
    -0.69
    POSITIVE LOGITS
     thing
    1.08
     exception
    1.01
     piece
    0.97
     drawback
    0.92
     pecul
    0.91
     facet
    0.91
     reason
    0.88
     aspect
    0.88
     foray
    0.87
     outing
    0.87
    Activations Density 0.093%

    No Known Activations