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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. 8-RES-JB
    11. 16970
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    Explanations

    specific numerical patterns, such as the number "22" recurring

    oai_token-act-pair · gpt-3.5-turbo

    numerical references or identifiers related to specific data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ´ãĤ¡
    -0.73
    orem
    -0.72
    iple
    -0.68
    herer
    -0.68
    oret
    -0.67
    etsk
    -0.66
    atis
    -0.66
    utra
    -0.65
     è£ıè¦ļéĨĴ
    -0.64
    reciation
    -0.62
    POSITIVE LOGITS
    nd
    1.19
    rd
    1.11
    00
    0.92
    lake
    0.77
    50
    0.77
    een
    0.76
    ¯¯
    0.74
    ald
    0.73
    mpeg
    0.73
    nm
    0.73
    Activations Density 0.076%

    No Known Activations