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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. 1231
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    Explanations

    words related to advantages or qualities in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating key attributes or qualities

    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
    deen
    -0.71
    ennial
    -0.67
     Awakens
    -0.67
    ocard
    -0.66
     Correction
    -0.64
    iversary
    -0.63
     Ago
    -0.61
    tarian
    -0.60
     Debate
    -0.60
     RELEASE
    -0.60
    POSITIVE LOGITS
     commonplace
    1.08
     sufficient
    0.99
     suffice
    0.98
     enough
    0.94
     staples
    0.93
     preferable
    0.92
     paramount
    0.92
     typical
    0.89
    enough
    0.89
     common
    0.88
    Activations Density 0.226%

    No Known Activations