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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. 0-RES-JB
    11. 4951
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    INDEX
    Explanations

    shapes mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various shapes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bull
    -0.71
     intern
    -0.66
     sol
    -0.64
     minimum
    -0.64
     vets
    -0.63
     Rush
    -0.62
     record
    -0.62
     additional
    -0.60
     commitment
    -0.60
     loss
    -0.60
    POSITIVE LOGITS
    shaped
    3.79
    shape
    2.22
     shaped
    1.53
    sized
    1.48
    themed
    1.19
    designed
    1.16
    looking
    1.15
    like
    1.12
     shape
    1.07
    branded
    1.03
    Activations Density 0.010%

    No Known Activations