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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. 9-RES-JB
    11. 1352
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    INDEX
    Explanations

    terms related to conventional beliefs or systems

    oai_token-act-pair · gpt-3.5-turbo

    references to conventionality or established norms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interrupted
    -0.73
    gur
    -0.72
    hov
    -0.70
    olulu
    -0.69
    haw
    -0.68
    heng
    -0.65
    hop
    -0.65
    atoon
    -0.63
    night
    -0.62
    Crash
    -0.62
    POSITIVE LOGITS
     wisdom
    1.41
    izations
    0.94
    ization
    0.91
     Warfare
    0.87
     Wisdom
    0.83
     methods
    0.82
    ities
    0.81
     notions
    0.81
    ALLY
    0.80
    ties
    0.80
    Activations Density 0.054%

    No Known Activations