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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. 2997
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    Explanations

    numbers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number "1000."

    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
    olas
    -0.81
    Downloadha
    -0.77
    reon
    -0.77
    Reviewer
    -0.74
    gotten
    -0.74
    gettable
    -0.73
    inion
    -0.72
    iqu
    -0.72
    stood
    -0.71
    gow
    -0.71
    POSITIVE LOGITS
    mAh
    0.96
     Hz
    0.85
     MHz
    0.84
     ILCS
    0.84
     msec
    0.81
     000
    0.80
    +
    0.79
    uther
    0.78
    8000
    0.77
    aire
    0.76
    Activations Density 0.010%

    No Known Activations