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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. 12-RES-JB
    11. 2756
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    INDEX
    Explanations

    references to water-related activities or items

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    mentions of water in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uate
    -0.73
    uary
    -0.72
    umbn
    -0.71
    eering
    -0.69
    asio
    -0.67
    ensen
    -0.63
    76561
    -0.61
     Ridley
    -0.61
     Alam
    -0.59
     NEC
    -0.58
    POSITIVE LOGITS
    melon
    1.65
    colour
    1.34
    falls
    1.30
    tight
    1.26
    mel
    1.26
    color
    1.15
    course
    1.11
    loo
    1.11
    cool
    1.05
    log
    1.03
    Activations Density 0.054%

    No Known Activations