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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. 13377
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    INDEX
    Explanations

    declarative statements emphasizing certainty or assurance

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing certainty or assurance

    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
    endars
    -0.76
    minist
    -0.73
    agn
    -0.71
    taboola
    -0.68
    lux
    -0.68
    agram
    -0.67
     Activities
    -0.67
    inventoryQuantity
    -0.67
    zeb
    -0.66
    endar
    -0.66
    POSITIVE LOGITS
     indis
    0.70
     definitively
    0.68
     surely
    0.67
     suffice
    0.67
     altogether
    0.65
     entirely
    0.64
     certain
    0.64
     universally
    0.64
     abundantly
    0.63
     remains
    0.63
    Activations Density 0.078%

    No Known Activations