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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. 21780
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    Explanations

    names or words related to a specific person, potentially related to a burglary or football

    oai_token-act-pair · gpt-3.5-turbo

    the word "fir" and its variations

    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
     Hosp
    -0.71
    pocket
    -0.67
    naires
    -0.65
    prop
    -0.65
     Telegraph
    -0.65
    eers
    -0.63
     Heller
    -0.63
     Occup
    -0.63
     Suff
    -0.62
    Redditor
    -0.62
    POSITIVE LOGITS
     fir
    1.40
    thur
    1.00
    boa
    0.96
    kson
    0.93
    selage
    0.90
    owship
    0.90
     horizont
    0.86
     glim
    0.86
    cipled
    0.85
    ighter
    0.85
    Activations Density 0.005%

    No Known Activations