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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. 6-RES-JB
    11. 7631
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    Explanations

    terms related to racing tracks and courses

    oai_token-act-pair · gpt-3.5-turbo

    terms related to racing tracks and maps

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oice
    -0.73
    itive
    -0.73
    UTH
    -0.69
    zos
    -0.68
    cook
    -0.67
    ibly
    -0.67
    untu
    -0.66
    lean
    -0.65
     fetal
    -0.62
    ora
    -0.61
    POSITIVE LOGITS
     layouts
    0.93
    side
    0.91
     surfaces
    0.79
     layout
    0.79
     scenery
    0.78
     surface
    0.78
     arenas
    0.75
     turf
    0.75
     floor
    0.73
     geometry
    0.73
    Activations Density 0.163%

    No Known Activations