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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. 4256
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    INDEX
    Explanations

    references to specific names, particularly proper names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of people

    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
    rix
    -0.91
    Ģ
    -0.90
    tons
    -0.89
    itu
    -0.88
    rified
    -0.86
    atari
    -0.84
    achus
    -0.84
    pocket
    -0.83
    izoph
    -0.82
    rament
    -0.81
    POSITIVE LOGITS
    CLASSIFIED
    0.73
     Reese
    0.73
     Outbreak
    0.63
    udge
    0.59
     McGu
    0.59
    uploads
    0.58
     deploy
    0.58
     NCT
    0.57
     Sunny
    0.56
    FORMATION
    0.56
    Activations Density 0.038%

    No Known Activations