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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. 22552
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    Explanations

    terms related to prediction or foresight

    oai_token-act-pair · gpt-3.5-turbo

    references to presidencies or presidential actions

    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
    Bear
    -0.69
    Square
    -0.67
    Dear
    -0.67
     Isles
    -0.65
    ISM
    -0.65
    finder
    -0.64
     Paradise
    -0.64
    Beast
    -0.63
     Sense
    -0.62
    rosis
    -0.62
    POSITIVE LOGITS
    ervative
    1.06
    byter
    1.03
    chool
    1.01
    idium
    1.00
    erver
    0.99
    ervatives
    0.96
    umed
    0.95
    umes
    0.95
    cient
    0.88
    ences
    0.88
    Activations Density 0.008%

    No Known Activations