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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. 13290
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    INDEX
    Explanations

    factors or influences that contribute to a situation

    oai_token-act-pair · gpt-3.5-turbo

    references to various contributing factors or influences

    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
    oÄŁ
    -0.80
    gem
    -0.70
    IDA
    -0.63
     Kyoto
    -0.63
    forestation
    -0.62
     QR
    -0.61
     Chaser
    -0.61
    ISSION
    -0.61
     Pip
    -0.60
    enment
    -0.60
    POSITIVE LOGITS
     factors
    1.34
     Factors
    1.24
     factor
    0.90
    factor
    0.89
     influences
    0.84
    imate
    0.84
    Fact
    0.82
     inev
    0.80
     variables
    0.77
     considerations
    0.77
    Activations Density 0.014%

    No Known Activations