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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. 3658
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    Explanations

    words related to physical description and perception, particularly focusing on the eyes

    oai_token-act-pair · gpt-3.5-turbo

    phrases that include the term "eye" and its associated descriptors

    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
    hement
    -0.82
    Together
    -0.75
    igham
    -0.70
    minus
    -0.70
    imir
    -0.70
    cia
    -0.69
    illet
    -0.67
     Together
    -0.64
    together
    -0.62
    doms
    -0.61
    POSITIVE LOGITS
     beh
    0.97
    ĸļ
    0.85
    itness
    0.77
    catching
    0.75
     ears
    0.75
     reflection
    0.71
    allows
    0.70
    screen
    0.69
    ometer
    0.68
     eyebrow
    0.68
    Activations Density 0.144%

    No Known Activations