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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. 12046
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities

    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
    bilt
    -0.81
    =-=-
    -0.70
     biscuits
    -0.70
     shotguns
    -0.68
    £ı
    -0.68
     compr
    -0.67
     torped
    -0.65
    ¬¼
    -0.64
    perty
    -0.63
     Pes
    -0.63
    POSITIVE LOGITS
    ividual
    1.17
    aho
    1.12
    irect
    1.03
    irection
    1.01
    iosyncr
    1.01
    itor
    0.99
    iots
    0.99
    ée
    0.93
    essa
    0.92
    emy
    0.92
    Activations Density 0.018%

    No Known Activations