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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. 9385
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    Explanations

    words related to actions or processes carried out in a systematic manner

    oai_token-act-pair · gpt-3.5-turbo

    references to methods or approaches described in a systematic way

    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
    addons
    -0.75
    arus
    -0.72
    verbs
    -0.70
    raltar
    -0.70
    algia
    -0.69
    apego
    -0.69
    perty
    -0.67
    orters
    -0.66
    ãĥĥãĥĪ
    -0.64
     Regions
    -0.62
    POSITIVE LOGITS
     thereafter
    0.79
     throughout
    0.76
     resembling
    0.75
     ILCS
    0.72
     whatsoever
    0.66
     concurrent
    0.64
     affecting
    0.63
     across
    0.63
     during
    0.63
    .
    0.63
    Activations Density 0.241%

    No Known Activations