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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. 3631
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    Explanations

    references to the city "Medellin"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ell" in various contexts

    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
     exha
    -0.81
     trave
    -0.67
     citiz
    -0.65
     unden
    -0.63
     arous
    -0.63
    rely
    -0.62
    cknow
    -0.62
    dayName
    -0.60
    REM
    -0.60
     ende
    -0.60
    POSITIVE LOGITS
    owship
    1.32
    iott
    1.10
    uminati
    1.03
    inger
    1.02
    iard
    0.99
    wagen
    0.97
    orian
    0.95
    ows
    0.95
    igent
    0.91
    iger
    0.91
    Activations Density 0.028%

    No Known Activations