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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. 0-RES-JB
    6. 22978
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    Explanations

    phrases related to conflict or competition

    oai_token-act-pair · gpt-3.5-turbo

    words related to being trapped or constrained

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Clinic
    -0.63
     paraly
    -0.62
     Patterson
    -0.59
     antit
    -0.58
    Subscribe
    -0.56
    OUN
    -0.54
     extent
    -0.53
    KN
    -0.53
     iod
    -0.53
    annabin
    -0.52
    POSITIVE LOGITS
    ged
    4.57
    ging
    2.99
    ges
    2.36
    gers
    2.02
    ger
    1.93
    ge
    1.82
    gered
    1.77
    gement
    1.76
    gery
    1.64
    gence
    1.62
    Activations Density 0.008%

    No Known Activations