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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. 12-RES-JB
    11. 2714
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    INDEX
    Explanations

    numerical comparisons

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    numerical data related to quantities or statistical figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vantage
    -0.92
    eno
    -0.76
    _>
    -0.75
    ndum
    -0.74
    senal
    -0.74
    ushima
    -0.74
    HCR
    -0.74
    LR
    -0.73
    mber
    -0.73
    PF
    -0.73
    POSITIVE LOGITS
     hundred
    1.40
     thirds
    1.38
     quarters
    1.31
    fold
    1.31
    teenth
    1.27
     times
    1.22
     thousand
    1.16
     dozen
    1.11
     metres
    1.09
     tenth
    1.08
    Activations Density 0.162%

    No Known Activations