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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. 13115
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    Explanations

    superlatives indicating size or scale such as "biggest" and "largest"

    oai_token-act-pair · gpt-3.5-turbo

    superlative adjectives describing size or significance

    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
    zed
    -0.73
    ttes
    -0.71
    rons
    -0.71
    angles
    -0.70
    ription
    -0.69
    arth
    -0.67
    zes
    -0.67
    rox
    -0.66
    ocene
    -0.64
    metry
    -0.64
    POSITIVE LOGITS
     tourist
    0.85
     superpower
    0.78
     spy
    0.78
     diplomat
    0.74
     agricultural
    0.71
     television
    0.71
     newspaper
    0.70
     humanitarian
    0.70
     export
    0.70
     broadcaster
    0.69
    Activations Density 0.118%

    No Known Activations