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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. 210
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    Explanations

    names of specific individuals, possibly related to sports or photography

    oai_token-act-pair · gpt-3.5-turbo

    specific proper nouns and identifiers in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
     tyr
    -0.86
     exting
    -0.79
    eatures
    -0.77
     eleph
    -0.76
     XIV
    -0.75
     destro
    -0.75
    ieu
    -0.73
     enthusi
    -0.73
     HOR
    -0.70
    «
    -0.70
    POSITIVE LOGITS
    cm
    0.88
    cms
    0.88
    ochet
    0.80
    lc
    0.79
     Scully
    0.78
     Unc
    0.77
    c
    0.76
    TM
    0.76
     "$:/
    0.75
     Coulter
    0.75
    Activations Density 0.265%

    No Known Activations