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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. 3-RES-JB
    11. 12489
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    Explanations

    number sequences

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number "65" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    nesday
    -0.84
    mble
    -0.79
    pressure
    -0.75
    iya
    -0.75
    ettings
    -0.73
    ascus
    -0.73
    hare
    -0.72
    hops
    -0.71
    theless
    -0.70
    uyomi
    -0.70
    POSITIVE LOGITS
     ILCS
    1.59
    328
    1.06
    65
    0.91
    625
    0.88
    ENCY
    0.86
    ONT
    0.86
    765
    0.85
    630
    0.84
    67
    0.83
    467
    0.83
    Activations Density 0.031%

    No Known Activations