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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. 1-RES-JB
    11. 3131
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    Explanations

    phrases related to entries or individuals joining or participating in events or groups

    oai_token-act-pair · gpt-3.5-turbo

    words related to various types of "entries" and "entrants."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Balanced
    -0.72
    ãĥ¤
    -0.66
     Kali
    -0.61
     SEN
    -0.60
     Athletic
    -0.60
     Ago
    -0.58
    ãģ®å
    -0.57
     Palest
    -0.57
     Psycho
    -0.57
    amaz
    -0.57
    POSITIVE LOGITS
    entry
    1.39
    prises
    0.82
    eering
    0.78
    tainment
    0.77
    mares
    0.77
    door
    0.77
    ablishment
    0.77
    irs
    0.73
    antry
    0.73
    odge
    0.73
    Activations Density 0.006%

    No Known Activations