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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. 18212
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    Explanations

    phrases related to opportunities or likelihood of success

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to opportunities and chances for success

    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
     Lange
    -0.67
    isle
    -0.66
     Bild
    -0.65
     Sear
    -0.62
    BuyableInstoreAndOnline
    -0.60
    ave
    -0.59
    rete
    -0.58
     Hort
    -0.58
     subt
    -0.57
     Cornwall
    -0.57
    POSITIVE LOGITS
     against
    0.74
    imester
    0.71
    llor
    0.70
     prospects
    0.68
     chances
    0.67
     tomorrow
    0.66
     vis
    0.65
    rage
    0.64
     survival
    0.64
    running
    0.62
    Activations Density 0.089%

    No Known Activations