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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14750
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    INDEX
    Explanations

    exclamatory words expressing strong emotions, such as surprise or disbelief

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disbelief or sarcasm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 5 - surprise

    No Comments

    Negative Logits
    arthy
    -0.75
    icipated
    -0.71
    enary
    -0.71
    adr
    -0.69
    athered
    -0.64
    bett
    -0.63
    fold
    -0.63
    idas
    -0.62
    sylv
    -0.61
    eded
    -0.60
    POSITIVE LOGITS
     Seriously
    0.84
    zers
    0.84
     dunno
    0.79
     kidding
    0.78
    FTWARE
    0.77
    Seriously
    0.75
     Helpful
    0.75
     tho
    0.73
    ?!
    0.70
    essage
    0.69
    Activations Density 0.055%

    No Known Activations