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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
    11. 15682
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    INDEX
    Explanations

    mentions of exploration and expeditions, particularly in a positive light

    oai_token-act-pair · gpt-3.5-turbo

    references to expeditions and exploration themes

    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
    corn
    -0.90
    colo
    -0.86
    practice
    -0.69
    pace
    -0.67
     Klu
    -0.66
    dim
    -0.65
    cht
    -0.64
    lined
    -0.64
    ply
    -0.64
    rael
    -0.63
    POSITIVE LOGITS
     expedition
    1.37
     Expedition
    1.30
    naire
    0.89
     Explorer
    0.89
    ngth
    0.89
     explorer
    0.89
     Everest
    0.87
    naires
    0.86
     exped
    0.83
     voy
    0.83
    Activations Density 0.011%

    No Known Activations