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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. 20065
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    INDEX
    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Feld" or related variations in the text

    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
    FUL
    -0.72
    PROV
    -0.64
     disciplinary
    -0.64
    Lear
    -0.63
     Occupations
    -0.61
     Âł Âł Âł Âł
    -0.61
     Healer
    -0.60
     culturally
    -0.59
    culated
    -0.59
     eleph
    -0.59
    POSITIVE LOGITS
    feld
    1.17
    enstein
    1.15
    stein
    1.09
    ophon
    1.06
    enegger
    1.04
    mann
    0.99
    gren
    0.98
    meyer
    0.97
    ling
    0.92
    ding
    0.91
    Activations Density 0.010%

    No Known Activations