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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. 1-RES-JB
    11. 7985
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    Explanations

    mentions of financial profits

    oai_token-act-pair · gpt-3.5-turbo

    references to financial profits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Nap
    -0.68
    ruck
    -0.66
    confirmed
    -0.66
    nu
    -0.65
     Buk
    -0.63
    Adams
    -0.63
     Trials
    -0.62
    OG
    -0.61
    ribe
    -0.61
    Dub
    -0.61
    POSITIVE LOGITS
     profits
    1.29
     margins
    1.10
     proceeds
    1.00
     profit
    0.98
    ulent
    0.96
     margin
    0.93
     earnings
    0.88
     reap
    0.83
    iciary
    0.83
     stash
    0.81
    Activations Density 0.005%

    No Known Activations