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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. 4-RES-JB
    11. 20409
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    Explanations

    words related to running or ongoing activities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of 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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olid
    -0.80
    ipop
    -0.78
    uther
    -0.77
    orescent
    -0.76
    onic
    -0.74
    oshop
    -0.73
    icultural
    -0.71
    imei
    -0.70
    ault
    -0.69
    ortium
    -0.69
    POSITIVE LOGITS
     rampant
    0.76
     mate
    0.76
    estones
    0.71
     shoes
    0.69
     downhill
    0.68
    river
    0.67
    running
    0.67
    wear
    0.66
    tracks
    0.66
     Ricardo
    0.66
    Activations Density 0.025%

    No Known Activations