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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. 9-RES-JB
    11. 2875
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Citation
    -0.70
    ulhu
    -0.67
    Scope
    -0.65
    paste
    -0.63
    »Ĵ
    -0.61
    packing
    -0.60
     upfront
    -0.58
    SourceFile
    -0.58
    ¿½
    -0.58
    Else
    -0.58
    POSITIVE LOGITS
    agy
    0.95
    iator
    0.93
    iated
    0.92
    iation
    0.92
    uously
    0.90
    iously
    0.89
    ATIONS
    0.89
    iating
    0.88
    ations
    0.88
    iations
    0.86
    Activations Density 0.123%

    No Known Activations