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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. 7-RES-JB
    11. 8912
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    INDEX
    Explanations

    adverbs and adjectives denoting the intensification or emphasis of an action or attribute

    oai_token-act-pair · gpt-3.5-turbo

    expressions of emphasis or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.72
     similarities
    -0.67
     warrants
    -0.65
     doubtless
    -0.63
    utsche
    -0.63
     pockets
    -0.62
     similarity
    -0.62
     caches
    -0.62
     veins
    -0.61
     antigen
    -0.61
    POSITIVE LOGITS
    angled
    0.82
    ammed
    0.82
    operative
    0.78
    amed
    0.76
    akable
    0.75
    uzz
    0.72
    onomic
    0.71
    oaded
    0.71
    adiq
    0.70
    urated
    0.70
    Activations Density 0.405%

    No Known Activations