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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. 19818
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    Explanations

    phrases related to different outcomes or results

    oai_token-act-pair · gpt-3.5-turbo

    constructions that describe outcomes or results, particularly those involving the phrases "end up" or "wound up."

    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
    arers
    -0.70
     initiative
    -0.66
    CW
    -0.64
    progress
    -0.64
     sprang
    -0.62
     shine
    -0.62
    ector
    -0.61
     shone
    -0.61
    hid
    -0.61
     pertaining
    -0.60
    POSITIVE LOGITS
    glomer
    0.74
    aucus
    0.74
     Schwar
    0.73
    untled
    0.72
    antically
    0.69
    ipel
    0.67
     TAMADRA
    0.66
     Penguin
    0.66
    skirts
    0.65
    otom
    0.64
    Activations Density 0.115%

    No Known Activations