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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. 16293
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    Explanations

    words related to strong emotional reactions or intensity

    oai_token-act-pair · gpt-3.5-turbo

    words related to significant legal terms and conditions

    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
    spr
    -0.94
    sweet
    -0.78
    jack
    -0.74
    lance
    -0.70
    lesi
    -0.70
    FFFF
    -0.68
    nah
    -0.66
    els
    -0.66
    Spr
    -0.66
    eming
    -0.66
    POSITIVE LOGITS
     metic
    0.94
    atically
    0.84
     guiActiveUn
    0.84
    ixel
    0.80
    othing
    0.80
    othe
    0.78
     captcha
    0.77
    ographic
    0.74
     ancest
    0.74
    orical
    0.71
    Activations Density 0.067%

    No Known Activations