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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. 4-RES-JB
    11. 15538
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    Explanations

    phrases related to specific locations, particularly piers and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or entities associated with "Pier."

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

    No Comments

    Negative Logits
    arily
    -0.77
     Bihar
    -0.75
    mson
    -0.70
    elta
    -0.69
    ä
    -0.66
     Clo
    -0.65
    Rush
    -0.64
    avez
    -0.64
    aries
    -0.63
    Balance
    -0.63
    POSITIVE LOGITS
     Pier
    1.02
     pier
    1.01
    cer
    0.87
    achy
    0.84
    nown
    0.84
    rette
    0.84
    cers
    0.78
    idon
    0.78
    acers
    0.77
    asus
    0.77
    Activations Density 0.010%

    No Known Activations