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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. 17225
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    Explanations

    large numerical values

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics

    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
     Flavoring
    -0.84
     brill
    -0.65
    theless
    -0.61
    raviolet
    -0.60
     advoc
    -0.58
     Proposition
    -0.57
     amen
    -0.57
     parach
    -0.56
     clen
    -0.56
     stagnant
    -0.56
    POSITIVE LOGITS
    7
    1.49
    5
    1.46
    4
    1.46
    6
    1.38
    3
    1.36
    8
    1.34
    2
    1.34
    9
    1.30
    1
    1.19
    412
    1.09
    Activations Density 0.158%

    No Known Activations