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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. 8-RES-JB
    11. 23771
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    INDEX
    Explanations

    numbers with specific meanings or functions within a context

    oai_token-act-pair · gpt-3.5-turbo

    references to ratings and structured data like votes and numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    party
    -0.80
    tackle
    -0.79
    Der
    -0.78
    fur
    -0.76
    software
    -0.75
    camera
    -0.75
    mat
    -0.75
    rub
    -0.74
    anim
    -0.74
    attach
    -0.73
    POSITIVE LOGITS
     10
    1.37
     8
    1.36
     15
    1.35
     20
    1.32
     9
    1.32
     6
    1.32
     12
    1.31
     7
    1.30
     5
    1.30
     30
    1.29
    Activations Density 0.284%

    No Known Activations