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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 13184
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    Explanations

    words related to colors and patterns

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the structure or formation of objects or concepts

    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
     Bullets
    -0.74
     Dragonbound
    -0.74
     Ars
    -0.74
     Dahl
    -0.72
     ABE
    -0.70
     Targ
    -0.69
     Kits
    -0.68
     Elves
    -0.68
     Lemon
    -0.67
     Fields
    -0.67
    POSITIVE LOGITS
    ont
    0.91
    llular
    0.90
    ect
    0.88
    rency
    0.87
    abor
    0.87
    amic
    0.84
    ucle
    0.84
    ocal
    0.83
    ather
    0.83
    ould
    0.82
    Activations Density 0.133%

    No Known Activations