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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. 10-RES-JB
    11. 12673
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    Explanations

    terms related to medical conditions, especially those related to bio-ophotonics

    oai_token-act-pair · gpt-3.5-turbo

    prefixes and roots related to various fields of 'oph' terminology, particularly in health and science contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WARD
    -0.77
    PLAY
    -0.68
     fitting
    -0.65
     trickle
    -0.64
    mouth
    -0.63
    TERN
    -0.62
    swick
    -0.62
    pee
    -0.61
    POST
    -0.61
    EXP
    -0.61
    POSITIVE LOGITS
    ysics
    1.45
    ilic
    1.43
    ilia
    1.34
    osph
    1.33
    iles
    1.29
    osate
    1.26
    agus
    1.24
    obe
    1.21
    agic
    1.19
    antom
    1.17
    Activations Density 0.032%

    No Known Activations