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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. 24506
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    Explanations

    phrases related to providing reasons or justifications

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing reasoning behind actions or decisions

    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
    illion
    -0.76
    NetMessage
    -0.74
    aughtered
    -0.74
    xit
    -0.73
     dearly
    -0.73
    Led
    -0.72
    til
    -0.71
    mons
    -0.70
     violently
    -0.68
    zilla
    -0.68
    POSITIVE LOGITS
     clarity
    1.54
     bre
    1.35
     consistency
    1.34
     accuracy
    1.30
     symmetry
    1.27
     fairness
    1.26
     simplicity
    1.23
     authenticity
    1.23
     modesty
    1.22
     uniqueness
    1.22
    Activations Density 0.324%

    No Known Activations