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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. 20209
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    Explanations

    text related to technical specifications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to technical specifications and requirements

    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
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    No Comments

    Negative Logits
    Chance
    -0.76
     snowball
    -0.72
    yk
    -0.69
     Moral
    -0.67
     contagious
    -0.67
    ctuary
    -0.67
    opa
    -0.66
     misplaced
    -0.66
     Chance
    -0.64
    olk
    -0.63
    POSITIVE LOGITS
     specifications
    3.67
     specs
    3.07
     specification
    2.73
     Specifications
    2.54
    spec
    1.63
    Spec
    1.48
     requirements
    1.35
     diagrams
    1.34
     Spec
    1.33
     dimensions
    1.33
    Activations Density 0.028%

    No Known Activations