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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. 21444
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    INDEX
    Explanations

    reasons or justifications for certain actions or decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating reasons or justifications

    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
    chn
    -0.86
    OLOGY
    -0.82
    ologue
    -0.81
     ILCS
    -0.75
    ocry
    -0.74
    luaj
    -0.71
    oped
    -0.70
    alsa
    -0.68
     Topics
    -0.68
    olitics
    -0.67
    POSITIVE LOGITS
     preferring
    1.32
     why
    1.30
     wanting
    1.25
     believing
    1.22
     excluding
    1.22
     rejecting
    1.19
     dismissing
    1.14
     choosing
    1.13
     recommending
    1.12
     inaction
    1.12
    Activations Density 0.151%

    No Known Activations