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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. 11346
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    Explanations

    numerical values followed by the word "piece"

    oai_token-act-pair · gpt-3.5-turbo

    references to artistic works or creations

    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
     footh
    -0.73
    pathy
    -0.68
    âĸ¬
    -0.65
     tomat
    -0.63
    vell
    -0.62
    rir
    -0.62
    icted
    -0.61
    mber
    -0.61
    olute
    -0.61
     actionGroup
    -0.59
    POSITIVE LOGITS
    meal
    1.35
    holder
    0.97
    OGR
    0.90
    enary
    0.85
    aker
    0.78
    ablishment
    0.73
    maker
    0.73
    ridges
    0.73
     Piece
    0.72
    sonian
    0.72
    Activations Density 0.020%

    No Known Activations