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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. 3-RES-JB
    11. 22566
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    Explanations

    references to various shades or shady locations

    oai_token-act-pair · gpt-3.5-turbo

    references to shade and color variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raltar
    -0.92
    hester
    -0.87
    IJ
    -0.84
    inez
    -0.82
    ities
    -0.75
    berus
    -0.75
    ilus
    -0.74
    ITIES
    -0.74
    sen
    -0.72
    ammad
    -0.71
    POSITIVE LOGITS
     shade
    1.10
     shades
    1.07
     Shade
    0.90
     shading
    0.90
     tint
    0.85
     coats
    0.77
     hue
    0.76
     palette
    0.76
     colors
    0.76
     tan
    0.75
    Activations Density 0.006%

    No Known Activations