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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. 19961
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    Explanations

    detailed explanations or analyses within text

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe various aspects or components of a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Not in Any Lists

    No Comments

    Negative Logits
     reperto
    -0.74
     subsequ
    -0.68
     partName
    -0.66
     ende
    -0.64
    aucuses
    -0.64
    nown
    -0.60
    elsius
    -0.60
    irs
    -0.59
    igue
    -0.59
    cms
    -0.59
    POSITIVE LOGITS
     sorts
    1.00
     course
    0.91
    icial
    0.89
    enance
    0.84
    ãĤ¯
    0.82
     ours
    0.75
    course
    0.73
     the
    0.69
     these
    0.68
     Course
    0.63
    Activations Density 0.963%

    No Known Activations