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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. 9408
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    Explanations

    words related to technical terms in various fields like technology, medicine, and academia

    oai_token-act-pair · gpt-3.5-turbo

    technical terms or phrases related to specific artistic or scientific criteria

    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
    ©¶æ¥µ
    -0.80
    camp
    -0.74
    anamo
    -0.71
     Spartans
    -0.69
     Upton
    -0.69
    eez
    -0.65
     McCarthy
    -0.64
    ONSORED
    -0.63
    astered
    -0.62
     Samar
    -0.62
    POSITIVE LOGITS
    gradient
    0.81
    Rot
    0.76
     gears
    0.75
     graphs
    0.74
     intersections
    0.74
     geometry
    0.73
     theorem
    0.73
     orbits
    0.73
     structures
    0.73
    hedral
    0.72
    Activations Density 0.869%

    No Known Activations