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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. 9043
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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
    creen
    -0.78
     delegation
    -0.74
     Jericho
    -0.69
     braces
    -0.68
     Clarkson
    -0.67
     disproportion
    -0.67
     destro
    -0.66
     Mellon
    -0.64
     clothed
    -0.63
     retrospect
    -0.61
    POSITIVE LOGITS
    ________________________________________________________________
    1.18
    Ñģ
    1.14
    ________________
    1.12
    ________
    1.11
    ********
    1.07
    à¸
    1.07
    Ñ
    1.06
    ________________________
    1.04
    î
    1.04
    _____
    1.04
    Activations Density 0.014%

    No Known Activations