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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. 1627
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    Explanations

    words related to physical activity, specifically running

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "running" in various contexts

    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
    ipop
    -0.73
    ortium
    -0.70
    ymes
    -0.69
    imei
    -0.68
    iden
    -0.65
    alam
    -0.65
    ylum
    -0.65
    arkin
    -0.65
    olid
    -0.64
    icidal
    -0.64
    POSITIVE LOGITS
     downhill
    0.79
     mate
    0.79
     rampant
    0.74
    running
    0.71
    wear
    0.68
    runner
    0.67
    escape
    0.66
    runners
    0.66
    tracks
    0.65
     Camel
    0.65
    Activations Density 0.028%

    No Known Activations