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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. 5-RES-JB
    6. 8229
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    Explanations

    phrases related to different types of professional activities or social issues

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a focus on performance or issues surrounding regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -0.68
     thereof
    -0.68
    Cooldown
    -0.63
    ··
    -0.59
    Pic
    -0.59
    Ö
    -0.58
    Completed
    -0.58
    _.
    -0.57
    ?".
    -0.56
    Chain
    -0.56
    POSITIVE LOGITS
     themselves
    0.82
    selves
    0.76
    iliar
    0.67
     their
    0.65
    prisingly
    0.63
    raged
    0.61
    allery
    0.59
    enty
    0.58
     puzzled
    0.57
    estern
    0.56
    Activations Density 1.208%

    No Known Activations