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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. 17611
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    INDEX
    Explanations

    dates presented in the format of "month year"

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and data points

    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
    plom
    -0.92
    kell
    -0.83
    afort
    -0.79
    pload
    -0.75
    qqa
    -0.74
    hammad
    -0.72
    ablo
    -0.71
    hei
    -0.68
    pora
    -0.68
    ochet
    -0.68
    POSITIVE LOGITS
    âĸĪâĸĪ
    0.91
    committee
    0.84
    %"
    0.82
    40
    0.79
    th
    0.79
    SW
    0.78
    80
    0.77
    81
    0.76
    mph
    0.75
    48
    0.74
    Activations Density 0.041%

    No Known Activations