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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. 10-RES-JB
    11. 5471
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    Explanations

    specific numbers and financial figures

    oai_token-act-pair · gpt-3.5-turbo

    references to financial statistics and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Niet
    -0.70
    soType
    -0.70
     Sty
    -0.65
    kas
    -0.65
    pter
    -0.65
    paren
    -0.64
    monster
    -0.62
     Ange
    -0.61
    Sty
    -0.61
     Violent
    -0.60
    POSITIVE LOGITS
     receive
    1.53
     receiving
    1.19
     gain
    1.19
     receives
    1.18
     reap
    1.12
     benefited
    1.07
     earn
    1.06
     owe
    1.06
     lose
    1.05
     benef
    1.04
    Activations Density 0.655%

    No Known Activations