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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. 24004
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    Explanations

    numerical values related to pricing or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those related to measurements or data points

    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
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    No Comments

    Negative Logits
    gewater
    -0.72
    gart
    -0.71
    giving
    -0.71
    ãħĭ
    -0.68
    gotten
    -0.67
    swick
    -0.66
    oru
    -0.66
    folk
    -0.66
    icial
    -0.65
    gary
    -0.65
    POSITIVE LOGITS
     ILCS
    0.95
    mph
    0.88
    dB
    0.85
    803
    0.84
    508
    0.83
    00000
    0.83
    cffff
    0.82
    456
    0.81
    505
    0.78
    75
    0.73
    Activations Density 0.014%

    No Known Activations