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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. 1-RES-JB
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    Explanations

    mentions of "theme parks."

    oai_token-act-pair · gpt-3.5-turbo

    references to themes within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rations
    -0.83
    rah
    -0.81
    ards
    -0.74
    ARD
    -0.74
     Journals
    -0.72
    arers
    -0.70
    GBT
    -0.70
    leys
    -0.69
    dp
    -0.68
    irl
    -0.68
    POSITIVE LOGITS
     theme
    1.43
    theme
    1.21
     themes
    1.11
     Theme
    1.05
    Theme
    0.96
    oleon
    0.90
    ĸļ
    0.88
     tune
    0.81
     motif
    0.80
    stay
    0.79
    Activations Density 0.005%

    No Known Activations