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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. 10-RES-JB
    11. 10211
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    Explanations

    numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those representing quantities and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    andise
    -0.59
    ique
    -0.58
    prise
    -0.55
    iola
    -0.54
    atown
    -0.54
     [*
    -0.53
     Tinker
    -0.53
     afterward
    -0.53
     theirs
    -0.52
     Fraz
    -0.51
    POSITIVE LOGITS
     stitches
    0.90
    fps
    0.90
    mph
    0.88
     mins
    0.84
     knots
    0.84
     acres
    0.84
    dB
    0.83
     sts
    0.83
     trillion
    0.82
    nm
    0.82
    Activations Density 0.238%

    No Known Activations