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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. 1-RES-JB
    11. 2235
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    Explanations

    phrases related to specific place names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and names related to 'Elm' and 'Hawth' areas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tsky
    -0.85
    estyles
    -0.77
     claimants
    -0.72
    natureconservancy
    -0.72
     rig
    -0.68
     vest
    -0.67
     athletes
    -0.67
    panic
    -0.66
    thood
    -0.66
    milo
    -0.65
    POSITIVE LOGITS
     Elm
    1.34
     Hawth
    0.91
     Grove
    0.80
     Rapids
    0.80
    minster
    0.79
    endor
    0.77
     Prairie
    0.76
    ixir
    0.76
    hurst
    0.75
     Gardens
    0.75
    Activations Density 0.028%

    No Known Activations