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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. 7-RES-JB
    11. 9840
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    INDEX
    Explanations

    positive emotions or reactions related to satisfaction and approval

    oai_token-act-pair · gpt-3.5-turbo

    expressions of positive sentiment and approval

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ailability
    -0.70
    apeshifter
    -0.69
    cum
    -0.66
    VERTISEMENT
    -0.65
    limits
    -0.62
    hang
    -0.62
    arettes
    -0.61
    heat
    -0.61
    irrel
    -0.61
     averaged
    -0.60
    POSITIVE LOGITS
     congr
    0.68
     congratulate
    0.68
     congratulations
    0.68
     welcoming
    0.65
    fully
    0.64
     compliments
    0.63
    DAQ
    0.62
     âĶľ
    0.62
    Congratulations
    0.62
    dy
    0.62
    Activations Density 0.125%

    No Known Activations