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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. 2712
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    Explanations

    terms related to athletic departments

    oai_token-act-pair · gpt-3.5-turbo

    references to athletic departments and activities

    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
    ppelin
    -0.78
    ered
    -0.70
    orah
    -0.69
    sky
    -0.69
    lessly
    -0.65
    later
    -0.65
    zl
    -0.64
    ozyg
    -0.64
    oys
    -0.63
    к
    -0.63
    POSITIVE LOGITS
     athletic
    0.80
     apparel
    0.78
     trainers
    0.78
    bands
    0.76
     trainer
    0.75
     Athletic
    0.74
     fibers
    0.72
     coaches
    0.71
    letes
    0.71
     Trainer
    0.71
    Activations Density 0.017%

    No Known Activations