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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. 9-RES-JB
    11. 8670
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    Explanations

    phrases related to authority or control

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the themes of control, consent, and the impacts of actions on individuals or entities

    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
    uve
    -0.67
    usted
    -0.67
    uesday
    -0.66
    hig
    -0.65
    binary
    -0.64
     hig
    -0.62
    duct
    -0.61
     pend
    -0.61
     tiss
    -0.61
    uese
    -0.61
    POSITIVE LOGITS
    steps
    1.04
    ews
    0.70
    books
    0.70
    lessness
    0.66
    iest
    0.66
    .
    0.64
    stretched
    0.63
    book
    0.61
    BOOK
    0.61
    lines
    0.60
    Activations Density 0.244%

    No Known Activations