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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. 9-RES-JB
    6. 21579
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal and political concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fare
    -0.96
    hov
    -0.88
    nown
    -0.86
    kie
    -0.82
    soDeliveryDate
    -0.81
    士
    -0.79
    tsky
    -0.79
    wagen
    -0.78
    kies
    -0.74
    borg
    -0.74
    POSITIVE LOGITS
     foil
    0.68
    uary
    0.63
    iary
    0.62
    uate
    0.60
     DEFENSE
    0.59
     blo
    0.59
     Takeru
    0.59
     opener
    0.58
     bapt
    0.58
     orbs
    0.58
    Activations Density 0.317%

    No Known Activations