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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. 3600
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    INDEX
    Explanations

    numerical quantities or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating personal perceptions or interpretations

    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
     impl
    -0.63
    igr
    -0.63
    worthy
    -0.61
    esian
    -0.61
     endeavor
    -0.59
    abin
    -0.58
    worthiness
    -0.57
     endeavour
    -0.57
    ridge
    -0.56
     demol
    -0.55
    POSITIVE LOGITS
     rid
    1.18
    tin
    0.94
     bored
    0.92
    DragonMagazine
    0.86
     lucky
    0.84
     tired
    0.81
    TING
    0.78
    cloneembedreportprint
    0.78
     reimb
    0.77
     rewarded
    0.75
    Activations Density 0.120%

    No Known Activations