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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. 7-RES-JB
    11. 9524
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    Explanations

    mentions of military ranks or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to military ranks and organizational structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ed
    -0.72
    ness
    -0.65
     expectancy
    -0.64
     Herb
    -0.61
     Lomb
    -0.59
    eda
    -0.58
    Tax
    -0.58
    ey
    -0.58
    rov
    -0.57
    ly
    -0.57
    POSITIVE LOGITS
    adier
    1.15
    ading
    1.06
    aded
    0.97
    inally
    0.91
    adr
    0.91
    puter
    0.89
    andom
    0.87
    andise
    0.86
    anty
    0.84
    aders
    0.82
    Activations Density 0.069%

    No Known Activations