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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. 11-RES-JB
    11. 399
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    INDEX
    Explanations

    words indicating a plan or shift in focus to future or related content

    oai_token-act-pair · gpt-3.5-turbo

    references to specific techniques or methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itaire
    -0.67
    owered
    -0.65
     surveyed
    -0.60
    tein
    -0.60
    mouth
    -0.59
    Choose
    -0.58
     polled
    -0.58
     harbour
    -0.57
     harbor
    -0.54
    olicited
    -0.54
    POSITIVE LOGITS
     later
    1.21
    later
    1.16
     tomorrow
    1.09
     shortly
    1.01
     soon
    0.99
    Later
    0.98
     future
    0.94
     forthcoming
    0.93
     Later
    0.92
    future
    0.90
    Activations Density 0.202%

    No Known Activations