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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. 17816
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    Explanations

    information related to chemical compounds or physical structures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various chemical compounds

    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
    ipeg
    -0.82
    hips
    -0.77
    waukee
    -0.71
     Sparrow
    -0.70
    Ŀ
    -0.67
    ockets
    -0.67
     Gunn
    -0.67
    hhhh
    -0.66
    ï¸
    -0.66
     Hector
    -0.66
    POSITIVE LOGITS
    inct
    0.81
     compounds
    0.80
     annex
    0.76
    alities
    0.74
     compound
    0.73
    aque
    0.69
    ogen
    0.69
    iliary
    0.66
     fractures
    0.66
     oxide
    0.66
    Activations Density 0.019%

    No Known Activations