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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. 11216
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    Explanations

    positive or enthusiastic expressions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of enjoyment or positive experiences

    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
    ascal
    -0.67
    arthed
    -0.66
    ãĤº
    -0.64
    abet
    -0.63
    ixels
    -0.63
    lat
    -0.62
    umbn
    -0.61
    rob
    -0.61
    %:
    -0.61
     offerings
    -0.60
    POSITIVE LOGITS
     funny
    1.05
     ironic
    0.99
     bitters
    0.99
     raining
    0.98
     easier
    0.96
     surreal
    0.96
     frustrating
    0.94
     stressful
    0.94
     heartbreaking
    0.89
     scary
    0.88
    Activations Density 0.360%

    No Known Activations