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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. 3-RES-JB
    11. 9375
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    Explanations

    words related to militancy or military-related terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to military or security contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.74
    swer
    -0.68
     Vive
    -0.68
    cond
    -0.68
     hearty
    -0.67
    FACE
    -0.66
    shield
    -0.65
    words
    -0.64
     withstand
    -0.64
     brace
    -0.62
    POSITIVE LOGITS
    ament
    1.21
    rative
    0.97
    atem
    0.93
    aci
    0.93
    ename
    0.92
    eral
    0.91
    assed
    0.90
    ablishment
    0.89
    ensable
    0.89
    ooter
    0.88
    Activations Density 0.007%

    No Known Activations