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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. 15688
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    Explanations

    dollar amounts

    oai_token-act-pair · gpt-3.5-turbo

    monetary values and figures within the text

    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
    soType
    -0.68
     Aval
    -0.67
    strength
    -0.66
    sole
    -0.65
    agn
    -0.65
    warts
    -0.64
     Ragnarok
    -0.62
    alys
    -0.61
    umbn
    -0.60
    iverpool
    -0.59
    POSITIVE LOGITS
    -$
    1.23
    /$
    1.00
     apiece
    0.99
     (£
    0.99
     USD
    0.91
    +.
    0.85
     annually
    0.82
    +
    0.81
    USD
    0.79
     worth
    0.79
    Activations Density 0.074%

    No Known Activations