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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. 11-RES-JB
    11. 9286
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    INDEX
    Explanations

    phrases related to making choices or decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases regarding purchasing intentions and consumer behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ythm
    -0.70
     eru
    -0.69
     largeDownload
    -0.64
     Stro
    -0.63
    itudinal
    -0.62
     Chern
    -0.61
    rawdownloadcloneembedreportprint
    -0.60
    ocious
    -0.59
     deepening
    -0.59
     projecting
    -0.59
    POSITIVE LOGITS
     purchase
    1.65
     buy
    1.62
     purchases
    1.40
     sell
    1.37
     purchased
    1.36
     Buy
    1.35
     bought
    1.35
     buys
    1.35
     purch
    1.34
    buy
    1.31
    Activations Density 0.485%

    No Known Activations