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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    Explanations

    references to adaptations of various forms, such as movies, dishes, and novels

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "adaptation" and its variations

    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
    âĸijâĸij
    -0.75
     nm
    -0.75
    VP
    -0.73
     Vall
    -0.71
    âĸ¬
    -0.71
    mu
    -0.70
    gun
    -0.68
    Northern
    -0.67
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.67
    002
    -0.66
    POSITIVE LOGITS
     adaptation
    1.52
     adaptations
    1.22
    adapt
    1.11
     Adapt
    1.05
     adapted
    1.01
    eatures
    0.95
     adapting
    0.93
     ende
    0.93
     adapt
    0.90
     screenplay
    0.87
    Activations Density 0.007%

    No Known Activations