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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. 7-RES-JB
    11. 5362
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulhu
    -0.83
    akeru
    -0.80
    ãĥ¼ãĤ¯
    -0.79
    cedented
    -0.76
     Nadu
    -0.75
    ocre
    -0.74
    ikuman
    -0.74
    nai
    -0.73
    wcs
    -0.72
    anwhile
    -0.71
    POSITIVE LOGITS
    riott
    0.81
     Painter
    0.71
    beck
    0.71
    ordan
    0.70
    bern
    0.70
    afort
    0.69
    lander
    0.67
    Neill
    0.66
     Freed
    0.65
    anson
    0.64
    Activations Density 0.179%

    No Known Activations