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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. 7578
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    Explanations

    the word "coins."

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and geographical terms

    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
    oris
    -0.73
     frying
    -0.67
     Pax
    -0.66
    king
    -0.65
     Europa
    -0.64
     whipping
    -0.64
     Advocate
    -0.63
     Paw
    -0.62
     Rome
    -0.60
     stool
    -0.60
    POSITIVE LOGITS
    idth
    0.65
    together
    0.65
    utenberg
    0.65
    inement
    0.65
     Nightmares
    0.64
    aiman
    0.64
    ukong
    0.62
    htaking
    0.62
    anges
    0.61
    abilities
    0.60
    Activations Density 0.000%

    No Known Activations