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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. 24086
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    Explanations

    numerals or numbers in text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of numerical terms and significant figures

    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
    hips
    -0.82
    loo
    -0.79
    OHN
    -0.74
    WARD
    -0.72
     Denis
    -0.71
    RAFT
    -0.65
    heet
    -0.61
    LINE
    -0.60
    neau
    -0.60
    peak
    -0.60
    POSITIVE LOGITS
    pty
    1.15
    eral
    1.07
    emonic
    0.99
    urg
    0.83
    rh
    0.83
    ming
    0.82
    BER
    0.80
    brance
    0.79
    phys
    0.79
    inous
    0.76
    Activations Density 0.046%

    No Known Activations