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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. 8-RES-JB
    6. 19491
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    INDEX
    Explanations

    positive or negative evaluations of different aspects within a context

    oai_token-act-pair · gpt-3.5-turbo

    phrases discussing the various aspects or elements of a situation or experience

    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
     actionGroup
    -0.72
    flush
    -0.65
     sidx
    -0.64
     throats
    -0.61
     teasp
    -0.59
     prefer
    -0.59
    STATE
    -0.59
    ignt
    -0.58
     fever
    -0.57
    perate
    -0.57
    POSITIVE LOGITS
     surprises
    0.68
     happens
    0.67
    SPONSORED
    0.66
     happened
    0.64
    uary
    0.63
    ï¸ı
    0.62
    Merit
    0.62
     thing
    0.62
     Mara
    0.62
     Flavoring
    0.61
    Activations Density 0.109%

    No Known Activations