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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. 3-RES-JB
    11. 12716
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    Explanations

    instances or examples of programs, objects, or entities in a technical context

    oai_token-act-pair · gpt-3.5-turbo

    references to specific instances or occurrences in a context related to programming or system architecture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eday
    -1.07
    geries
    -0.84
    jri
    -0.75
    irie
    -0.74
    aceous
    -0.73
    sonian
    -0.73
    cott
    -0.71
    zzi
    -0.70
    tsky
    -0.70
    sis
    -0.70
    POSITIVE LOGITS
    uations
    0.75
     Gladiator
    0.71
    ually
    0.70
    uation
    0.70
    ividual
    0.69
    holding
    0.68
     instance
    0.66
     instances
    0.65
     thereof
    0.65
     Werewolf
    0.64
    Activations Density 0.010%

    No Known Activations