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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. 9808
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    Explanations

    references to American football running backs

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "running back" in a sports context

    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
    ortium
    -0.74
    olia
    -0.70
     plur
    -0.69
     Emer
    -0.68
    ipop
    -0.66
    umbn
    -0.64
    entially
    -0.64
    ushima
    -0.63
    illery
    -0.62
    IFIED
    -0.62
    POSITIVE LOGITS
    aways
    0.83
    running
    0.81
    runner
    0.78
    wear
    0.77
     downhill
    0.77
    ways
    0.77
     mate
    0.76
    escape
    0.76
    Loop
    0.74
    runners
    0.74
    Activations Density 0.048%

    No Known Activations