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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. 7-RES-JB
    11. 21707
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    INDEX
    Explanations

    realize or realize variations

    oai_token-act-pair · gpt-3.5-turbo

    instances of realizations or realizations about self-awareness and understanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erential
    -0.73
    osta
    -0.71
    inion
    -0.70
    lished
    -0.69
     IMAGES
    -0.68
    idia
    -0.66
    accompan
    -0.64
    emo
    -0.64
    raltar
    -0.62
    utor
    -0.61
    POSITIVE LOGITS
     *)
    0.68
    schild
    0.68
    ãĢij
    0.68
     mistake
    0.67
     Puppet
    0.67
     contradiction
    0.64
     mole
    0.62
    ffff
    0.60
    hyper
    0.59
     Werewolf
    0.59
    Activations Density 0.248%

    No Known Activations