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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. 4-RES-JB
    11. 4577
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    Explanations

    words related to legal proceedings and people's names with the pattern "Sche[letter][number]"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific individual, likely a significant figure in a particular context

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

    No Comments

    Negative Logits
    Downloadha
    -0.91
    ORED
    -0.84
    ĺħ
    -0.73
     Taiwanese
    -0.72
    iary
    -0.71
    INGTON
    -0.70
     Jed
    -0.70
    å°Ĩ
    -0.68
    iate
    -0.67
    CLASSIFIED
    -0.67
    POSITIVE LOGITS
    dule
    1.09
    infeld
    1.01
    fter
    0.94
    ven
    0.92
    zag
    0.90
    eta
    0.90
    mers
    0.89
    uler
    0.88
    tto
    0.87
    Sche
    0.87
    Activations Density 0.005%

    No Known Activations