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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. 10-RES-JB
    11. 18864
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    Explanations

    references to specific dates, particularly those related to historical events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific dates, particularly in September

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bottleneck
    -0.66
    Reviewer
    -0.63
     segreg
    -0.60
     isolated
    -0.60
    éĹĺ
    -0.59
    theless
    -0.58
     Tart
    -0.57
     material
    -0.56
     Hearts
    -0.56
     idi
    -0.56
    POSITIVE LOGITS
    .,
    1.16
    eme
    1.07
    .;
    0.97
    imus
    0.96
    sburg
    0.95
    .):
    0.94
    .-
    0.94
    ibel
    0.93
    mented
    0.92
    .,"
    0.91
    Activations Density 0.018%

    No Known Activations