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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. 0-RES-JB
    11. 15785
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    Explanations

    adjectives related to appearance and material qualities such as shiny, sleek, and glossy

    oai_token-act-pair · gpt-3.5-turbo

    descriptive adjectives associated with appearance and aesthetics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Osw
    -0.76
    Factor
    -0.75
     Factors
    -0.72
    erest
    -0.72
     recons
    -0.71
    ajor
    -0.67
    772
    -0.66
     interpol
    -0.66
    ratom
    -0.66
     Limits
    -0.66
    POSITIVE LOGITS
     shiny
    3.22
     sleek
    2.17
     glossy
    2.12
     flashy
    2.02
     polished
    1.92
     slick
    1.88
     tidy
    1.82
     neat
    1.73
     Shiny
    1.67
     pristine
    1.56
    Activations Density 0.055%

    No Known Activations