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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. 2136
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    Explanations

    phrases related to overall evaluations or rankings

    oai_token-act-pair · gpt-3.5-turbo

    references to overall assessments or evaluations

    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
     Ships
    -0.74
    ulas
    -0.70
    rette
    -0.69
     Caf
    -0.68
     Fet
    -0.68
     Meridian
    -0.66
     Valkyrie
    -0.63
    ":[{"
    -0.63
     Relic
    -0.61
    iotics
    -0.61
    POSITIVE LOGITS
     overall
    0.95
     constitu
    0.86
    gebra
    0.83
     standings
    0.78
    heastern
    0.75
    Overall
    0.72
     picture
    0.72
    gorithm
    0.72
    nih
    0.71
     attractiveness
    0.71
    Activations Density 0.011%

    No Known Activations