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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. 22573
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    Explanations

    names with the word "Bright"

    oai_token-act-pair · gpt-3.5-turbo

    words related to brightness and visual characteristics

    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
    udeau
    -0.88
    pez
    -0.83
    ccess
    -0.72
    ournal
    -0.71
    PsyNetMessage
    -0.71
    utherford
    -0.70
    itual
    -0.70
    ersion
    -0.69
    INT
    -0.68
    ãĤ§
    -0.67
    POSITIVE LOGITS
    ewater
    1.22
    ness
    1.02
     Horizons
    0.89
    NESS
    0.84
    emouth
    0.84
    stones
    0.79
    bread
    0.78
    itude
    0.76
    croft
    0.76
    leness
    0.75
    Activations Density 0.013%

    No Known Activations