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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. 23055
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    Explanations

    adjectives emphasizing size, magnitude, or impact

    oai_token-act-pair · gpt-3.5-turbo

    words that convey significant magnitude or extent, particularly in a context of influence or admiration

    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
    acus
    -0.74
    kt
    -0.73
    ivari
    -0.73
    jan
    -0.73
    pill
    -0.72
    ramid
    -0.71
     Ending
    -0.70
    agne
    -0.69
    kas
    -0.68
    TING
    -0.68
    POSITIVE LOGITS
     sophistication
    1.36
     importance
    1.31
     complexity
    1.30
     popularity
    1.29
     versatility
    1.26
     flexibility
    1.26
     difficulty
    1.24
     ingenuity
    1.22
     bravery
    1.18
     strength
    1.16
    Activations Density 0.356%

    No Known Activations