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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. 10-RES-JB
    11. 6071
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    Explanations

    words related to memorial locations or events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to categories and classifications in film and character studies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ers
    -0.66
    endor
    -0.65
    sheet
    -0.64
     Lovecraft
    -0.62
    erman
    -0.60
     Wish
    -0.60
     Bucket
    -0.60
     Jew
    -0.57
    enberg
    -0.57
    ERG
    -0.56
    POSITIVE LOGITS
    getic
    1.15
    rors
    1.13
    ror
    1.10
    cial
    1.05
    vous
    0.99
    rane
    0.98
    ior
    0.97
    ufact
    0.95
    ÃŃa
    0.94
    bah
    0.89
    Activations Density 0.114%

    No Known Activations