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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. 9-RES-JB
    11. 3126
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    Explanations

    dates in the format day<tab>month with higher activations for the 23rd of the month

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utra
    -0.71
    herer
    -0.68
    achus
    -0.67
    iple
    -0.65
    auri
    -0.64
    owered
    -0.63
    oret
    -0.63
    awaru
    -0.63
     è£ıè¦ļéĨĴ
    -0.62
    amaru
    -0.61
    POSITIVE LOGITS
    rd
    1.33
    nd
    1.27
    00
    1.05
    50
    0.79
    ald
    0.76
    RD
    0.74
    RF
    0.72
    lake
    0.72
    60
    0.71
    ¯¯
    0.71
    Activations Density 0.080%

    No Known Activations