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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. 4-RES-JB
    11. 2026
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    phrases related to buying items or products

    oai_token-act-pair · gpt-3.5-turbo

    references to purchasing or buying items

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

    No Comments

    Negative Logits
    inas
    -0.70
     Archdemon
    -0.67
    uality
    -0.64
    osa
    -0.63
     Nas
    -0.62
    doi
    -0.61
    ities
    -0.61
     Nadu
    -0.61
     Investigations
    -0.60
    uber
    -0.60
    POSITIVE LOGITS
    iture
    1.05
     groceries
    0.86
     assistants
    0.79
     buying
    0.79
     purchases
    0.74
     purchasing
    0.74
    creen
    0.74
    cott
    0.73
    #$#$
    0.72
    itures
    0.72
    Activations Density 0.033%

    No Known Activations