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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. 9050
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    INDEX
    Explanations

    superlatives or emphasis words denoting extremely high or intense quality

    oai_token-act-pair · gpt-3.5-turbo

    references to "greatest" 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
    skirts
    -0.86
    bara
    -0.80
    walk
    -0.75
    sem
    -0.73
    ttes
    -0.72
    mun
    -0.70
    syn
    -0.67
    aly
    -0.66
    meta
    -0.66
    bars
    -0.66
    POSITIVE LOGITS
     unsolved
    0.82
    iary
    0.80
     Greatest
    0.74
     conceivable
    0.72
     injustice
    0.71
     possible
    0.71
     accomplishment
    0.70
     imaginable
    0.70
     exponent
    0.70
     downfall
    0.70
    Activations Density 0.011%

    No Known Activations