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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13429
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    Explanations

    mentions of numerical figures related to statistics like counts or quantities of things

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "and" along with quantifiable data or counts related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    èª
    -0.63
    LAB
    -0.59
    GAME
    -0.59
     Prometheus
    -0.58
    cture
    -0.58
    GROUP
    -0.58
     Biology
    -0.57
    quote
    -0.57
    hedon
    -0.56
    FORE
    -0.55
    POSITIVE LOGITS
     counting
    1.10
     thirteen
    1.06
     seven
    1.02
     dozens
    1.02
     six
    1.02
     fourteen
    0.99
     five
    0.98
     eleven
    0.98
     nine
    0.98
     twelve
    0.98
    Activations Density 0.235%

    No Known Activations