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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. 3-RES-JB
    11. 8799
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    Explanations

    references to American football running backs

    oai_token-act-pair · gpt-3.5-turbo

    references to running backs in football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istar
    -0.67
    akespe
    -0.67
    irlf
    -0.65
    urious
    -0.64
    rir
    -0.64
     sidx
    -0.64
    ãĥĥ
    -0.63
     municip
    -0.63
    orable
    -0.62
    ename
    -0.62
    POSITIVE LOGITS
     coach
    0.72
     guru
    0.72
    books
    0.69
     classmate
    0.68
     lineman
    0.67
    backer
    0.67
     coaches
    0.66
     linebacker
    0.65
    olor
    0.64
     Trace
    0.64
    Activations Density 0.066%

    No Known Activations