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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. 1410
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    INDEX
    Explanations

    Descriptive words related to rankings or positions, such as "first place" or "second-place."

    oai_token-act-pair · gpt-3.5-turbo

    references to ranking or placement in competitions

    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
    natureconservancy
    -0.80
    kinson
    -0.75
    sav
    -0.72
    oult
    -0.70
    raine
    -0.66
    Appearance
    -0.65
    irlf
    -0.64
    GUI
    -0.63
    cest
    -0.63
    athered
    -0.62
    POSITIVE LOGITS
     fin
    0.99
     finishes
    0.93
     contender
    0.90
     bidder
    0.82
     finish
    0.81
     standings
    0.79
    holder
    0.77
     contenders
    0.73
     earners
    0.69
    lihood
    0.68
    Activations Density 0.055%

    No Known Activations