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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. 10-RES-JB
    11. 6017
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    INDEX
    Explanations

    phrases related to decision-making and action

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing urgency or strong reactions to situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alot
    -0.76
     impacted
    -0.62
     Continuous
    -0.61
    rican
    -0.61
    Background
    -0.60
     Lets
    -0.60
     FOX
    -0.58
     HUGE
    -0.57
    ewitness
    -0.57
     Background
    -0.56
    POSITIVE LOGITS
    —"
    0.91
     whiff
    0.76
     muse
    0.74
     deft
    0.74
     exqu
    0.73
     esche
    0.71
     twent
    0.71
     grinning
    0.71
     shrug
    0.70
     lest
    0.70
    Activations Density 1.489%

    No Known Activations