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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. 13443
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    Explanations

    instances where something is explicitly specified or defined

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "specifying" and "specificity."

    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
    ilee
    -0.78
    Pear
    -0.78
    stra
    -0.73
    tip
    -0.73
    Īè
    -0.72
    spot
    -0.72
    anch
    -0.72
    beat
    -0.72
    be
    -0.71
    IU
    -0.70
    POSITIVE LOGITS
     specifications
    0.88
     wording
    0.86
     thresholds
    0.85
     parameters
    0.84
     criteria
    0.84
     labels
    0.79
    wcsstore
    0.76
     explicitly
    0.75
     deadlines
    0.73
    imen
    0.73
    Activations Density 0.031%

    No Known Activations