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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. 2800
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    Explanations

    words related to errors or defects

    oai_token-act-pair · gpt-3.5-turbo

    words related to flaws and deficiencies

    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
    agog
    -0.71
     Carbuncle
    -0.71
    NAS
    -0.67
    xon
    -0.66
    zee
    -0.64
     Jackets
    -0.63
    rooms
    -0.63
    yss
    -0.63
     buses
    -0.62
    oran
    -0.61
    POSITIVE LOGITS
     flaws
    1.04
     plag
    0.93
     flaw
    0.92
    lessly
    0.83
    ulence
    0.81
     faults
    0.79
     defects
    0.76
     weaknesses
    0.76
     loopholes
    0.74
     compromises
    0.74
    Activations Density 0.024%

    No Known Activations