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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. 8-RES-JB
    11. 8542
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    Explanations

    technical details related to electronic devices, such as screen types and resolutions as well as colors and finishes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to visual details and descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aucuses
    -0.74
    sett
    -0.72
    ombat
    -0.71
    Mand
    -0.69
    iazep
    -0.69
    MQ
    -0.69
    ository
    -0.68
    raltar
    -0.67
     fundament
    -0.66
    legate
    -0.65
    POSITIVE LOGITS
     colors
    1.27
     tint
    1.27
     color
    1.24
     colours
    1.24
     colour
    1.21
     glare
    1.16
     brighter
    1.16
     bright
    1.14
     photographs
    1.13
     photograph
    1.12
    Activations Density 0.800%

    No Known Activations