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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. 16049
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    Explanations

    comparisons of how much of something is naturally present versus artificially introduced or produced

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "naturally" and its associated meanings in various contexts

    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
     Straw
    -0.75
    ammy
    -0.74
    rik
    -0.71
    raints
    -0.70
     Blades
    -0.70
     Franks
    -0.68
    pled
    -0.68
    rity
    -0.67
     Execution
    -0.67
     Millennium
    -0.66
    POSITIVE LOGITS
     regenerate
    0.91
     occurring
    0.91
     combust
    0.80
    uces
    0.77
    bda
    0.77
     regener
    0.76
     propagate
    0.76
    istically
    0.74
     dissip
    0.74
    isable
    0.72
    Activations Density 0.010%

    No Known Activations