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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. 8-RES-JB
    11. 24478
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    Explanations

    specific mentions or emphasis on certain aspects within a larger context

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating specificity or particularity in discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    board
    -0.73
    ILLE
    -0.71
    shell
    -0.66
     thug
    -0.64
     taxp
    -0.64
    gio
    -0.64
    Enlarge
    -0.61
    toggle
    -0.61
    Run
    -0.60
    IRD
    -0.60
    POSITIVE LOGITS
     namely
    0.82
     evidenced
    0.77
     Micha
    0.72
    ãĤŃ
    0.68
    ovie
    0.68
     اÙĦ
    0.65
    those
    0.65
    thood
    0.63
    thouse
    0.63
     Regarding
    0.63
    Activations Density 0.090%

    No Known Activations