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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. 14085
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    Explanations

    succinct summaries or main points within text

    oai_token-act-pair · gpt-3.5-turbo

    summaries or concise explanations of concepts

    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
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    Negative Logits
    lean
    -0.76
     faint
    -0.69
     Guan
    -0.68
    rie
    -0.66
    ali
    -0.65
    someone
    -0.65
    young
    -0.63
    regn
    -0.62
    viron
    -0.61
    gged
    -0.61
    POSITIVE LOGITS
     nutshell
    1.45
     summarize
    0.84
     summar
    0.83
     Overview
    0.76
    ="#
    0.76
    rss
    0.71
     gist
    0.70
     =================
    0.70
     LET
    0.68
     outline
    0.68
    Activations Density 0.010%

    No Known Activations