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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. 24023
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    Explanations

    phrases indicating high probability or expectation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating probability or likelihood

    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
    andan
    -0.85
    ollen
    -0.83
    inth
    -0.78
    gian
    -0.76
    psey
    -0.76
    kind
    -0.73
    elle
    -0.73
    aska
    -0.72
    iband
    -0.70
    aredevil
    -0.69
    POSITIVE LOGITS
     guesses
    0.76
     guessed
    0.75
     assume
    0.72
     Opinion
    0.68
     assum
    0.67
     exists
    0.67
     mistaken
    0.66
     logically
    0.66
     releg
    0.66
     infer
    0.64
    Activations Density 0.041%

    No Known Activations