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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. 5310
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    Explanations

    comparative statements about quantities or levels

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases indicating an increase or accumulation, often connected with the word "more."

    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
    æ©
    -0.84
    Ń·
    -0.77
    boxing
    -0.76
    ufact
    -0.74
    selves
    -0.73
    https
    -0.70
    xtap
    -0.69
    AGES
    -0.68
    çī
    -0.67
    pload
    -0.67
    POSITIVE LOGITS
     expensive
    0.84
     importantly
    0.84
     realistic
    0.80
     interesting
    0.79
     potent
    0.79
     complicated
    0.79
     desirable
    0.79
     salient
    0.78
     optimistic
    0.78
     prevalent
    0.77
    Activations Density 0.035%

    No Known Activations