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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. 9-RES-JB
    11. 19910
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    Explanations

    phrases related to connections or collaborations

    oai_token-act-pair · gpt-3.5-turbo

    references to connections or relationships within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    perty
    -0.80
    issance
    -0.74
    wagen
    -0.70
    sburg
    -0.67
    iation
    -0.67
     Nights
    -0.64
    ICAN
    -0.64
    ================================================================
    -0.64
    ISTER
    -0.64
    ocate
    -0.63
    POSITIVE LOGITS
    breaker
    1.13
     knot
    1.08
    tie
    1.05
    breakers
    1.04
    red
    0.99
    ged
    0.90
     knots
    0.88
    redo
    0.86
    breaking
    0.85
    breaks
    0.84
    Activations Density 0.042%

    No Known Activations