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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. 5-RES-JB
    6. 1311
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to titles and descriptions of creative works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arching
    -0.79
    conservancy
    -0.72
    successfully
    -0.70
    packing
    -0.66
    bending
    -0.66
    icer
    -0.63
    ittal
    -0.63
    ngth
    -0.60
    aults
    -0.59
    fair
    -0.59
    POSITIVE LOGITS
    =""
    0.84
    sic
    0.81
    Ô
    0.78
    ¯
    0.76
    ="
    0.76
    Said
    0.70
     Dictionary
    0.70
    lua
    0.69
    Quantity
    0.69
    èĥ
    0.68
    Activations Density 0.364%

    No Known Activations