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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. 22053
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    INDEX
    Explanations

    phrases indicating a survey or research study

    oai_token-act-pair · gpt-3.5-turbo

    references to survey data and polling results

    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
     Clown
    -0.68
    der
    -0.65
     insanity
    -0.63
    fun
    -0.62
     supers
    -0.62
     madness
    -0.62
     continuity
    -0.61
    acity
    -0.60
    otion
    -0.60
    boxing
    -0.60
    POSITIVE LOGITS
     surveyed
    3.79
     polled
    2.76
     sampled
    1.72
     interviewed
    1.63
     survey
    1.60
     surveys
    1.60
     surve
    1.59
     studied
    1.55
     examined
    1.53
     Surve
    1.52
    Activations Density 0.012%

    No Known Activations