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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. 6350
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    Explanations

    dates in different formats

    oai_token-act-pair · gpt-3.5-turbo

    dates mentioned in the text

    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
    éĹĺ
    -0.68
    theless
    -0.68
     front
    -0.60
     spoiler
    -0.59
    Reviewer
    -0.58
     backpack
    -0.57
     grip
    -0.57
     proto
    -0.57
     cracks
    -0.56
     dement
    -0.55
    POSITIVE LOGITS
    .,
    1.37
    .?
    1.19
    .;
    1.14
    ./
    1.13
    ember
    1.08
    .:
    1.04
    .),
    1.04
    .-
    1.02
    .,"
    1.01
    .):
    1.01
    Activations Density 0.031%

    No Known Activations