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    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. 22065
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    Explanations

    phrases related to the use of something in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to usage and control of particular entities or items

    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
    vertisement
    -0.63
     earthqu
    -0.63
     Roose
    -0.63
    ichick
    -0.63
    osion
    -0.62
    essing
    -0.62
    én
    -0.61
     Constantin
    -0.61
    choes
    -0.61
     Rib
    -0.60
    POSITIVE LOGITS
     sparing
    1.19
     wisely
    1.00
     inappropriately
    0.97
     responsibly
    0.88
     efficiently
    0.85
     pseudonym
    0.85
     metaphor
    0.83
     GOODMAN
    0.82
     levers
    0.81
     liber
    0.80
    Activations Density 0.355%

    No Known Activations