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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. 16437
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    Explanations

    text related to academic studies and research papers

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "study" and related references to research contexts

    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
    itive
    -0.68
    itol
    -0.66
    EStream
    -0.65
    iously
    -0.65
    cffffcc
    -0.64
    ãĤ¦ãĤ¹
    -0.64
    ãħĭ
    -0.63
    agin
    -0.63
    iHUD
    -0.63
    antly
    -0.63
    POSITIVE LOGITS
     titled
    1.04
     which
    1.02
     however
    0.94
     dated
    0.91
     we
    0.89
     wherein
    0.86
     entitled
    0.85
     researchers
    0.83
     published
    0.82
    available
    0.77
    Activations Density 0.204%

    No Known Activations