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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. 2-RES-JB
    11. 9111
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    IER
    -0.76
    rush
    -0.67
    ruary
    -0.62
    enser
    -0.62
     yea
    -0.61
    ked
    -0.60
    iness
    -0.60
    rounder
    -0.59
    IUM
    -0.58
    ODUCT
    -0.58
    POSITIVE LOGITS
    senal
    0.82
     psychiat
    0.73
    ĪĴ
    0.71
    ©¶æ
    0.70
    itsch
    0.69
    alog
    0.68
    icz
    0.67
    throw
    0.66
    Downloadha
    0.65
    dump
    0.65
    Activations Density 0.000%

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