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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. 3-RES-JB
    6. 19805
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    Explanations

    exclamatory phrases expressing strong emotions

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory phrases and expressions of strong emotion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cible
    -0.79
    lining
    -0.71
     prost
    -0.69
     gaze
    -0.69
     path
    -0.68
    ativity
    -0.68
    unker
    -0.67
    cific
    -0.67
    otypes
    -0.66
    ãĥĥãĥī
    -0.66
    POSITIVE LOGITS
    !!!!!
    1.40
    !!!
    1.27
    !!
    1.20
     :-)
    1.06
    !!!!
    1.04
    ?!
    1.02
    !/
    1.00
    ??
    0.99
     :)
    0.98
    ???
    0.97
    Activations Density 0.008%

    No Known Activations