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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. 9-RES-JB
    11. 13872
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    Explanations

    references to the term "Monster"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific video game titles and their associated terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atories
    -0.93
    ories
    -0.91
    SourceFile
    -0.84
    dit
    -0.73
    atory
    -0.70
    ricks
    -0.68
    rup
    -0.67
    orship
    -0.67
    lest
    -0.66
    ribes
    -0.66
    POSITIVE LOGITS
     Reborn
    0.79
     hunter
    0.75
    ãĥĢ
    0.74
     wre
    0.74
     beasts
    0.74
     Summon
    0.74
     Hunter
    0.72
     monsters
    0.71
     wom
    0.70
    «ĺ
    0.70
    Activations Density 0.038%

    No Known Activations