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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. 23573
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms associated with evolutionary processes and development in various contexts

    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
    orah
    -0.78
    lished
    -0.73
    iverse
    -0.72
    ACTED
    -0.71
    ovie
    -0.71
    ologue
    -0.70
    linger
    -0.69
    istor
    -0.67
    riter
    -0.66
    icus
    -0.65
    POSITIVE LOGITS
     arrangements
    1.22
     opportunities
    1.22
     mechanisms
    1.21
     capabilities
    1.20
     schemes
    1.15
     strategies
    1.12
     setups
    1.12
     options
    1.11
     scenarios
    1.11
     margins
    1.10
    Activations Density 0.439%

    No Known Activations