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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. 9938
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    Explanations

    measurements including lengths, distances, and heights specified in various units

    oai_token-act-pair · gpt-3.5-turbo

    information related to measurements and dimensions

    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
    MQ
    -0.80
    bee
    -0.76
    ãĤ´ãĥ³
    -0.72
    Tea
    -0.69
    Cow
    -0.66
    aea
    -0.65
    Enh
    -0.65
     Scrib
    -0.65
    advertising
    -0.64
    Mail
    -0.63
    POSITIVE LOGITS
     diameter
    1.11
     circumference
    1.09
     radius
    0.97
     distances
    0.88
     breadth
    0.88
     width
    0.86
    iameter
    0.84
     latitude
    0.82
     distance
    0.81
     coastline
    0.78
    Activations Density 0.161%

    No Known Activations