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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. 6-RES-JB
    11. 10945
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    Explanations

    proper names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artifacts
    -0.76
    worldly
    -0.71
    ahime
    -0.70
    fecture
    -0.70
    DragonMagazine
    -0.70
    ultimate
    -0.70
    netflix
    -0.69
    raints
    -0.68
     climax
    -0.67
    awaru
    -0.67
    POSITIVE LOGITS
     Wasserman
    0.99
     Blumenthal
    0.96
     McCarthy
    0.94
     Flynn
    0.94
     Bernstein
    0.92
     McInt
    0.92
     Levin
    0.91
     Friedman
    0.89
     Lindsey
    0.89
     Shapiro
    0.88
    Activations Density 0.301%

    No Known Activations