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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. 4-RES-JB
    11. 24147
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    INDEX
    Explanations

    mentions of military activities or related terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to military actions and operations

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

    No Comments

    Negative Logits
    Mist
    -0.75
    BOOK
    -0.75
    Charge
    -0.70
     Feast
    -0.68
     coli
    -0.67
    Rate
    -0.67
    foot
    -0.65
    JECT
    -0.64
    âĸ¬
    -0.64
     Carbuncle
    -0.63
    POSITIVE LOGITS
    ament
    1.03
    arily
    1.01
     milit
    0.96
    iam
    0.87
    aments
    0.85
    ancy
    0.85
    ician
    0.84
    ace
    0.83
    antly
    0.83
    ications
    0.81
    Activations Density 0.008%

    No Known Activations