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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. 8-RES-JB
    11. 24249
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    Explanations

    phrases related to people's names, possibly focusing on specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific names or entities, particularly related to media figures and roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arak
    -0.97
    saf
    -0.91
     Cosponsors
    -0.82
    rero
    -0.81
    rencies
    -0.81
    ozy
    -0.80
    ĪĴ
    -0.80
    incial
    -0.79
    imity
    -0.78
    iler
    -0.77
    POSITIVE LOGITS
     Jenner
    0.84
     Roberts
    0.83
     Horowitz
    0.82
     Bean
    0.77
     Ellison
    0.75
     Atkinson
    0.74
     Moran
    0.73
     Dunham
    0.72
     Robinson
    0.72
    Street
    0.71
    Activations Density 0.233%

    No Known Activations