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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. 6-RES-JB
    11. 17809
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts related to time, measurement, and categorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imar
    -0.61
    Tes
    -0.59
    ãĤ±
    -0.59
     Tropical
    -0.58
     HIM
    -0.56
    aughed
    -0.56
     Crimson
    -0.52
    specified
    -0.52
    vell
    -0.51
    boro
    -0.51
    POSITIVE LOGITS
     syndrome
    0.95
    arenthood
    0.80
     Syndrome
    0.78
    osity
    0.71
     refers
    0.70
    ogenesis
    0.70
    ativity
    0.67
     scenarios
    0.64
    ¶
    0.64
    folios
    0.64
    Activations Density 0.552%

    No Known Activations