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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 15998
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    INDEX
    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical codes or identifiers, likely related to data or statistics

    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
    esan
    -0.82
    drawn
    -0.71
    estine
    -0.71
    mac
    -0.71
    fman
    -0.70
    aned
    -0.69
    enic
    -0.67
    arching
    -0.63
    auri
    -0.63
    draw
    -0.63
    POSITIVE LOGITS
    ĸļ
    0.96
    ãĥĺ
    0.79
    ãĥ³ãĤ¸
    0.77
    685
    0.75
    603
    0.74
    011
    0.74
    018
    0.73
    (-
    0.73
    009
    0.73
    017
    0.73
    Activations Density 0.011%

    No Known Activations