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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. 3-RES-JB
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    Explanations

    mentions of monetary amounts in dollars

    oai_token-act-pair · gpt-3.5-turbo

    references to specific monetary amounts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Gors
    -0.80
    umbn
    -0.77
     Pend
    -0.76
     Sed
    -0.75
     Bre
    -0.74
     Tall
    -0.73
     Dod
    -0.73
     Deliver
    -0.72
     Bru
    -0.71
     Tid
    -0.70
    POSITIVE LOGITS
    $$
    1.30
    USD
    1.00
    $$$$
    0.97
    $
    0.96
    -$
    0.89
    100
    0.88
    GOP
    0.86
    200
    0.85
    250
    0.85
    false
    0.83
    Activations Density 0.090%

    No Known Activations