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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. 2-RES-JB
    11. 18799
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    Explanations

    proper nouns related to locations, specifically focusing on the word "Concord" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly "Concord" and "Dartmouth."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hered
    -0.91
    stanbul
    -0.78
    draw
    -0.74
    RAW
    -0.73
    DIR
    -0.71
    psy
    -0.71
    ################################
    -0.70
    EAR
    -0.70
    tten
    -0.70
    DER
    -0.67
    POSITIVE LOGITS
     Concord
    1.28
    ance
    0.90
    ia
    0.82
    ified
    0.73
     Papers
    0.72
     Corpus
    0.71
     Bride
    0.71
    arie
    0.69
     Bay
    0.68
    Bridge
    0.68
    Activations Density 0.015%

    No Known Activations