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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. 12577
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    Explanations

    numeric values representing millions or billions of dollars

    oai_token-act-pair · gpt-3.5-turbo

    numeric values, particularly large monetary amounts

    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
    akeru
    -0.65
     Wid
    -0.60
     srfAttach
    -0.58
    igrants
    -0.57
     Cod
    -0.57
     grounding
    -0.57
    onga
    -0.55
     swall
    -0.55
     Stef
    -0.53
     citiz
    -0.53
    POSITIVE LOGITS
    -$
    1.14
     billion
    1.09
     Billion
    1.07
     million
    1.01
    billion
    0.97
    million
    0.96
     trillion
    0.91
    120
    0.88
    bn
    0.88
    200
    0.87
    Activations Density 0.078%

    No Known Activations