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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. 6-RES-JB
    11. 17039
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to specific categories or types of entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    osponsors
    -0.71
    Rush
    -0.66
    200000
    -0.63
    PDATE
    -0.62
    SEA
    -0.61
     Falcons
    -0.61
    irth
    -0.60
     clipboard
    -0.60
     Azerb
    -0.58
     PROT
    -0.58
    POSITIVE LOGITS
    hots
    1.37
    hot
    1.03
    selves
    0.93
    creen
    0.92
    omething
    0.90
    uits
    0.85
    cale
    0.82
    paces
    0.78
    mith
    0.76
    fired
    0.75
    Activations Density 0.029%

    No Known Activations