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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. 3710
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    Explanations

    references to physical shapes and deformities

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms and characteristics of shapes

    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
    onte
    -0.82
    govtrack
    -0.81
     Mub
    -0.81
    iance
    -0.76
    amily
    -0.70
     Skies
    -0.68
    unts
    -0.68
    ousing
    -0.67
    aires
    -0.66
    visors
    -0.66
    POSITIVE LOGITS
     shif
    1.03
     shape
    0.91
    liness
    0.84
    forms
    0.83
    ly
    0.82
    lessness
    0.81
    shape
    0.79
    Shape
    0.75
    lier
    0.74
     Shape
    0.74
    Activations Density 0.041%

    No Known Activations