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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. 7-RES-JB
    11. 1525
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    INDEX
    Explanations

    the words "prospective" or "potential"

    oai_token-act-pair · gpt-3.5-turbo

    words related to potential candidates or opportunities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wood
    -0.80
    imov
    -0.77
    antry
    -0.75
    beit
    -0.73
    phy
    -0.72
    bara
    -0.71
    cloth
    -0.70
    zee
    -0.70
    mson
    -0.70
    gaard
    -0.69
    POSITIVE LOGITS
     future
    0.92
     entrants
    0.81
     defect
    0.79
     buyers
    0.79
     intruder
    0.79
     successors
    0.77
     employer
    0.77
     partners
    0.76
     buyer
    0.76
     offender
    0.75
    Activations Density 0.062%

    No Known Activations