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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. 11-RES-JB
    11. 17174
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    Explanations

    keywords related to speed or quickness

    oai_token-act-pair · gpt-3.5-turbo

    mentions of speed or quickness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    sembly
    -0.64
     misunder
    -0.58
    mology
    -0.57
    rys
    -0.55
     comr
    -0.55
    arov
    -0.55
    ¥µ
    -0.54
    retched
    -0.54
    insula
    -0.53
    代
    -0.53
    POSITIVE LOGITS
    aneously
    1.44
     enough
    1.24
    enough
    0.92
    idious
    0.84
    ened
    0.82
    entimes
    0.82
     thereafter
    0.81
    itud
    0.81
    est
    0.79
    iously
    0.78
    Activations Density 0.102%

    No Known Activations