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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. 0-RES-JB
    11. 9930
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    INDEX
    Explanations

    names of locations or people

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tones
    -0.73
    ROM
    -0.70
     Lit
    -0.69
    imb
    -0.69
    ilit
    -0.69
    iless
    -0.68
     PROT
    -0.67
     Kam
    -0.67
     dro
    -0.67
     dign
    -0.66
    POSITIVE LOGITS
     Swan
    3.66
     Angus
    1.47
     Compass
    1.28
    aeus
    1.18
     Thames
    1.09
     Swanson
    1.00
     Sturgeon
    0.99
    eki
    0.99
     Holden
    0.98
     Frey
    0.96
    Activations Density 0.057%

    No Known Activations