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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. 18910
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    INDEX
    Explanations

    instances of the word "it" followed by descriptive or potentially evaluative adjectives or expressions

    oai_token-act-pair · gpt-3.5-turbo

    instances of uncertainty or speculation

    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
    ãģ®éŃĶ
    -0.71
    licts
    -0.64
    ibel
    -0.62
     GEAR
    -0.62
    aii
    -0.62
    lict
    -0.61
    icals
    -0.59
    ocaust
    -0.59
    ament
    -0.58
    ĸļ
    -0.58
    POSITIVE LOGITS
     someday
    0.99
     misunder
    0.95
     somew
    0.91
     underest
    0.84
     underestimated
    0.84
     subconscious
    0.81
     wiser
    0.77
     underrated
    0.77
     sensing
    0.75
     coincidence
    0.74
    Activations Density 0.280%

    No Known Activations