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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. 11503
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    Explanations

    phrases related to policies and regulations

    oai_token-act-pair · gpt-3.5-turbo

    references to entertainment policies or regulations

    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
     penalties
    -0.69
     conferences
    -0.65
     occasions
    -0.65
    genre
    -0.65
     exhaust
    -0.63
     substit
    -0.62
     intakes
    -0.60
     siblings
    -0.59
     excellence
    -0.59
    ding
    -0.59
    POSITIVE LOGITS
     GOODMAN
    0.92
    Wik
    0.86
    INESS
    0.81
    ACY
    0.81
     Bulg
    0.81
    Balt
    0.80
    BuyableInstoreAndOnline
    0.76
    IO
    0.74
    é¾
    0.73
     ðŁ
    0.72
    Activations Density 0.000%

    No Known Activations