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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. 3-RES-JB
    11. 16970
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    Explanations

    phrases or mentions related to achievements or success, particularly in the context of breakout performances

    oai_token-act-pair · gpt-3.5-turbo

    references to "breakout" performances or successes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anto
    -0.85
    esthetic
    -0.82
    ittee
    -0.80
    zanne
    -0.78
    cale
    -0.75
    teness
    -0.75
    anguage
    -0.74
    ternity
    -0.73
    poral
    -0.73
    rox
    -0.72
    POSITIVE LOGITS
     breakout
    1.20
    draft
    0.98
    PsyNetMessage
    0.86
    SpaceEngineers
    0.78
     darling
    0.70
    OWS
    0.70
    ptions
    0.68
    knit
    0.67
    WER
    0.67
     Arrest
    0.65
    Activations Density 0.011%

    No Known Activations