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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. 6638
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    scientific or technical descriptions related to experiments or observations

    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
    aph
    -0.39
     detectives
    -0.38
    Cause
    -0.37
    itar
    -0.37
     depends
    -0.36
    ritch
    -0.36
    iaries
    -0.36
     sock
    -0.36
    Story
    -0.35
     Rollins
    -0.35
    POSITIVE LOGITS
    åĮ
    0.56
     respectively
    0.51
    ]).
    0.47
     srf
    0.44
     dracon
    0.43
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.42
    çͰ
    0.42
     ç¥ŀ
    0.41
    anwhile
    0.40
    äº
    0.40
    Activations Density 4.650%

    No Known Activations