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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. 17931
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    Explanations

    terms related to military activities or equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to military aircraft or operations

    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
    sson
    -0.68
     Leth
    -0.63
     bere
    -0.61
     cir
    -0.60
     obst
    -0.59
     moder
    -0.59
     WH
    -0.58
    iewicz
    -0.57
     forth
    -0.56
    atown
    -0.56
    POSITIVE LOGITS
    shaped
    1.22
    dimensional
    0.95
    series
    0.95
    level
    0.93
    factor
    0.92
    Unit
    0.91
    type
    0.88
    sized
    0.88
    bodied
    0.88
    section
    0.86
    Activations Density 0.053%

    No Known Activations