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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. 23586
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    Explanations

    words related to high achievement or recognition

    oai_token-act-pair · gpt-3.5-turbo

    words indicating high status or recognition

    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
    HUD
    -0.79
    src
    -0.76
    Phones
    -0.75
    seed
    -0.74
    ope
    -0.74
    phrine
    -0.70
    pher
    -0.70
    quel
    -0.70
    ramid
    -0.69
    hed
    -0.69
    POSITIVE LOGITS
    inguished
    1.11
     honors
    0.98
     citiz
    0.96
     distinguished
    0.86
     laure
    0.85
     talents
    0.85
     accomplishments
    0.84
     accol
    0.80
     illustrious
    0.80
     renown
    0.78
    Activations Density 0.019%

    No Known Activations