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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. 6-RES-JB
    11. 7294
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    INDEX
    Explanations

    average statistics or numbers in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    statistical phrases related to averages and metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phase
    -0.74
     syndrome
    -0.72
     Syndrome
    -0.66
    nda
    -0.64
    castle
    -0.63
     Nou
    -0.62
    acqu
    -0.61
    culture
    -0.61
     Cthulhu
    -0.60
    bris
    -0.59
    POSITIVE LOGITS
    imates
    0.82
    imate
    0.76
    uates
    0.74
     averages
    0.72
    uate
    0.71
    nesota
    0.70
     approx
    0.68
    imum
    0.68
    terson
    0.67
    rical
    0.65
    Activations Density 0.022%

    No Known Activations