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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. 5310
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    Explanations

    first-person statements with actions or observations

    oai_token-act-pair · gpt-3.5-turbo

    personal experiences and opinions

    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
     Kard
    -0.68
     Travels
    -0.68
    geoning
    -0.66
     flanked
    -0.61
    lation
    -0.61
    rek
    -0.60
    itary
    -0.59
    hound
    -0.58
    plant
    -0.58
    bial
    -0.58
    POSITIVE LOGITS
     noticed
    1.00
     Learned
    0.95
     disliked
    0.94
     dislike
    0.93
     learned
    0.92
     learnt
    0.88
     forgot
    0.87
     regret
    0.82
     neglected
    0.81
     overlooked
    0.79
    Activations Density 0.141%

    No Known Activations