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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. 4056
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    Explanations

    words related to basketball terms like "rim," "hoop," and "spokes."

    oai_token-act-pair · gpt-3.5-turbo

    terms related to basketball and sports imagery involving rims and hoops

    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
    herty
    -0.69
     Tradable
    -0.66
     Dangerous
    -0.65
     Idle
    -0.65
     Chatt
    -0.61
    anders
    -0.60
     Occupations
    -0.60
     Guam
    -0.59
    ggies
    -0.59
    士
    -0.58
    POSITIVE LOGITS
    senal
    1.13
    ming
    1.12
    med
    1.04
    ned
    0.94
    phal
    0.86
    assic
    0.85
    pen
    0.85
    stones
    0.83
    rect
    0.82
    blers
    0.82
    Activations Density 0.006%

    No Known Activations