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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. 17946
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    Explanations

    adjectives related to extreme or high levels

    oai_token-act-pair · gpt-3.5-turbo

    the term "ultra" in various contexts

    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
    avan
    -0.72
     Cosponsors
    -0.70
    emis
    -0.68
     ë
    -0.66
    ilage
    -0.66
    uez
    -0.65
     Bleach
    -0.63
    士
    -0.61
     Nights
    -0.61
    ebook
    -0.61
    POSITIVE LOGITS
    charged
    1.00
    orthodox
    0.93
    REM
    0.85
    ordinary
    0.79
    iolet
    0.78
    judicial
    0.78
    fine
    0.77
     violet
    0.74
    hest
    0.73
    jump
    0.72
    Activations Density 0.018%

    No Known Activations