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    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. 6917
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    SW
    -0.72
    RAW
    -0.67
    romy
    -0.67
    oka
    -0.66
    ring
    -0.65
    mini
    -0.63
     Rebellion
    -0.62
     FML
    -0.62
    MM
    -0.62
    sth
    -0.61
    POSITIVE LOGITS
     Loading
    0.66
     Thumbnails
    0.63
     Continue
    0.62
    etitive
    0.62
    ossus
    0.62
    guyen
    0.62
     suscept
    0.60
     fert
    0.59
     deploy
    0.59
    tics
    0.58
    Activations Density 0.008%

    No Known Activations