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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. 3-RES-JB
    11. 12414
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    Explanations

    names of locations and people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of people and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orc
    -0.90
    cess
    -0.80
    verb
    -0.73
    agra
    -0.69
    ores
    -0.69
    uras
    -0.67
    eared
    -0.65
     veil
    -0.64
    eg
    -0.64
    wn
    -0.64
    POSITIVE LOGITS
    utherford
    1.11
     Rutherford
    0.97
    ythm
    0.84
    lund
    0.76
    holm
    0.73
    ãĤ¡
    0.73
    stadt
    0.70
    LIN
    0.70
    yth
    0.68
    icter
    0.67
    Activations Density 0.015%

    No Known Activations