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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. 9-RES-JB
    6. 4541
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    INDEX
    Explanations

    phrases related to potential outcomes, consequences, and predictions

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating future possibilities or hypothetical scenarios

    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
     burying
    -0.68
     praying
    -0.64
    kar
    -0.64
     submitting
    -0.64
     slaying
    -0.63
    arthed
    -0.63
     introducing
    -0.63
     Ivory
    -0.62
     preparing
    -0.62
     Serving
    -0.61
    POSITIVE LOGITS
     soar
    1.07
     vary
    1.07
     dwind
    1.07
     diminish
    1.05
     vanish
    1.04
     be
    1.02
     prevail
    1.02
     evapor
    1.01
     fluct
    1.01
     deterior
    1.00
    Activations Density 0.188%

    No Known Activations