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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. 9-RES-JB
    11. 23549
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    INDEX
    Explanations

    superlatives indicating extremes or records

    oai_token-act-pair · gpt-3.5-turbo

    superlative adjectives describing extremes or significant conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ending
    -0.76
    skirts
    -0.74
    rompt
    -0.70
    yi
    -0.69
    yang
    -0.69
    bind
    -0.68
    tis
    -0.68
    mbuds
    -0.67
    redo
    -0.67
    kas
    -0.65
    POSITIVE LOGITS
     imaginable
    1.28
     possible
    1.25
     conceivable
    1.22
     practicable
    1.00
     ever
    0.96
     extant
    0.80
    hest
    0.79
     Possible
    0.76
     EVER
    0.74
    anding
    0.74
    Activations Density 0.093%

    No Known Activations