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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. 7-RES-JB
    11. 23551
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    Explanations

    dollar amounts in the text

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and financial figures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nare
    -0.86
     Gors
    -0.76
     Squirrel
    -0.72
     Wra
    -0.71
     TRE
    -0.70
     Reborn
    -0.67
     Bend
    -0.67
     htt
    -0.66
     Ital
    -0.65
     Desk
    -0.65
    POSITIVE LOGITS
    false
    0.91
    1600
    0.89
    100
    0.88
    300
    0.87
    200
    0.87
    130
    0.84
    220
    0.84
    20
    0.82
    150
    0.82
    240
    0.81
    Activations Density 0.049%

    No Known Activations