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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 13451
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    Explanations

    emphatic adverbs or adjectives conveying intensification

    oai_token-act-pair · gpt-3.5-turbo

    intensifying adjectives and adverbs, particularly those related to degree or emphasis

    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
    adium
    -0.75
    aer
    -0.75
    oway
    -0.75
    Ó
    -0.73
    duct
    -0.68
    arsity
    -0.68
    ipal
    -0.66
    gha
    -0.65
    swick
    -0.64
    osal
    -0.63
    POSITIVE LOGITS
     importantly
    1.27
     unsurprisingly
    1.18
     surprisingly
    1.09
     fortunately
    1.04
     interestingly
    1.03
    entimes
    1.02
     predictably
    0.97
     disappointing
    0.95
     kidding
    0.94
     ironically
    0.93
    Activations Density 0.127%

    No Known Activations