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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. 8-RES-JB
    6. 21279
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    Explanations

    phrases related to being affected or injured by something or someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate actions or events influenced by something or someone

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ASE
    -0.83
    eva
    -0.77
    inea
    -0.76
    rest
    -0.74
    ãĥĥãĥĪ
    -0.73
    cue
    -0.72
    iture
    -0.71
    LO
    -0.71
    yssey
    -0.70
    ourage
    -0.70
    POSITIVE LOGITS
    products
    0.95
     virtue
    0.95
     illness
    0.82
     sheer
    0.81
     gunfire
    0.77
     nature
    0.76
     lightning
    0.75
     mobs
    0.75
     Hurricane
    0.74
     inertia
    0.73
    Activations Density 0.111%

    No Known Activations