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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. 3597
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    Explanations

    references to components or parts of objects or systems

    oai_token-act-pair · gpt-3.5-turbo

    references to "components" or parts of a system or item

    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
    kers
    -0.83
    stretched
    -0.76
    standing
    -0.75
    bies
    -0.74
    ker
    -0.72
    fm
    -0.69
    bows
    -0.68
    chie
    -0.67
    hur
    -0.66
    worthy
    -0.66
    POSITIVE LOGITS
     components
    0.98
     parts
    0.89
     component
    0.88
     subsystem
    0.84
     Components
    0.82
     additive
    0.81
    onents
    0.79
    IAL
    0.76
    ancial
    0.74
    ially
    0.73
    Activations Density 0.016%

    No Known Activations