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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. 6-RES-JB
    11. 16928
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    Explanations

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    empty or non-informative text segments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asper
    -0.87
    psc
    -0.73
    HQ
    -0.66
    bub
    -0.66
    uddy
    -0.65
    ayson
    -0.65
    Times
    -0.64
    anu
    -0.63
    itaire
    -0.63
    BIP
    -0.62
    POSITIVE LOGITS
     consequently
    0.90
     therefore
    0.88
     furthermore
    0.83
     secondly
    0.82
     thence
    0.80
     preferably
    0.80
     thus
    0.79
     possibly
    0.78
     optionally
    0.77
     moreover
    0.75
    Activations Density 0.148%

    No Known Activations