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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĺħ
    -0.85
    atever
    -0.79
    sis
    -0.78
    jac
    -0.76
    STD
    -0.73
    xus
    -0.70
    clus
    -0.66
    Nap
    -0.66
    éĸ
    -0.65
    ĪĴ
    -0.64
    POSITIVE LOGITS
     trading
    0.96
    daq
    0.91
     traders
    0.89
     paperback
    0.85
     Trading
    0.83
     trader
    0.82
     ledger
    0.81
    ickr
    0.78
     trades
    0.76
     cards
    0.75
    Activations Density 0.016%

    No Known Activations