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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. 1692
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    Explanations

    dollar amounts in texts

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to monetary value

    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
     Ern
    -0.80
     Ribbon
    -0.75
     Aval
    -0.72
     Puzz
    -0.72
     Edison
    -0.69
    Fra
    -0.65
     Plain
    -0.64
     Hilbert
    -0.64
     Nou
    -0.63
     Warfare
    -0.63
    POSITIVE LOGITS
    umes
    0.86
    ume
    0.85
    worth
    0.84
    iness
    0.78
    otation
    0.76
    imus
    0.75
    ensing
    0.75
    folios
    0.73
    ongs
    0.73
     worth
    0.72
    Activations Density 0.020%

    No Known Activations