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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. 6-RES-JB
    11. 7456
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    Explanations

    references to the concept of 'dawn'

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of "dawn" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omsky
    -0.73
    estyles
    -0.68
    nikov
    -0.66
    idium
    -0.65
    acca
    -0.64
    apter
    -0.63
    ttle
    -0.63
    TR
    -0.63
    chn
    -0.63
    axter
    -0.63
    POSITIVE LOGITS
     dawn
    0.94
    shire
    0.88
    hower
    0.85
    issance
    0.85
     dusk
    0.82
    ing
    0.79
    nings
    0.79
    mare
    0.79
    mares
    0.78
     timers
    0.74
    Activations Density 0.021%

    No Known Activations