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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. 15327
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    INDEX
    Explanations

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of prominent politicians and senators

    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
    DragonMagazine
    -0.90
    netflix
    -0.81
     footballer
    -0.72
     decomp
    -0.72
    hare
    -0.71
    pmwiki
    -0.70
    drivers
    -0.70
     civilisation
    -0.69
    sole
    -0.68
    nir
    -0.67
    POSITIVE LOGITS
    PAC
    0.92
     Biden
    0.91
     Haley
    0.90
     Pelosi
    0.90
     Levin
    0.89
     Rubio
    0.88
     Huckabee
    0.87
     Feinstein
    0.87
     McCain
    0.86
     Cruz
    0.86
    Activations Density 0.287%

    No Known Activations