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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. 3759
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    Explanations

    dimensions in inches and centimeters

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and symbols

    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
    atically
    -0.80
    worldly
    -0.79
    manship
    -0.75
     Haram
    -0.74
    veh
    -0.73
    raise
    -0.69
    ulet
    -0.69
    frey
    -0.68
     recapt
    -0.67
    venge
    -0.66
    POSITIVE LOGITS
     Radius
    1.09
     diameter
    1.09
     tall
    0.98
     circumference
    0.91
     Width
    0.90
    x
    0.90
    ÃĹ
    0.89
     radius
    0.83
     width
    0.81
     diagonal
    0.81
    Activations Density 0.055%

    No Known Activations