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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. 2367
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    INDEX
    Explanations

    phrases related to weapon supply or acquisition

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and references to supplies, particularly weapons and equipment

    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
    ĸļ
    -0.98
     Daddy
    -0.83
    ļéĨĴ
    -0.79
    netflix
    -0.77
    igmatic
    -0.75
    imbabwe
    -0.71
    Ĥİ
    -0.68
    weet
    -0.65
    igmat
    -0.64
    incial
    -0.63
    POSITIVE LOGITS
     equipment
    1.40
     mater
    1.26
     ammunition
    1.26
     manpower
    1.26
     appliances
    1.25
     munitions
    1.23
     supplies
    1.22
     materials
    1.16
     machinery
    1.16
     accessories
    1.16
    Activations Density 0.225%

    No Known Activations