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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. 8-RES-JB
    6. 6006
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    INDEX
    Explanations

    keywords related to government positions and titles

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "op" and various punctuation and numerical patterns related to context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hots
    -0.78
    ococ
    -0.75
    otes
    -0.75
    683
    -0.73
    ãĥĻ
    -0.73
    690
    -0.70
    679
    -0.69
    674
    -0.67
     Reese
    -0.66
     Scarlet
    -0.65
    POSITIVE LOGITS
    d
    1.26
    dor
    1.19
    D
    1.18
    dl
    1.12
    dt
    1.10
    Ds
    1.09
    ds
    1.06
     Dixon
    1.03
    DI
    1.03
    dh
    1.02
    Activations Density 0.265%

    No Known Activations