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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
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    Explanations

    references to military groups or armed factions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "militia" and its variations in context

    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
    fixed
    -0.69
    lined
    -0.68
    ject
    -0.67
    val
    -0.67
    mone
    -0.67
    older
    -0.67
    odor
    -0.66
    infeld
    -0.65
    eat
    -0.64
    paren
    -0.64
    POSITIVE LOGITS
     militias
    1.18
     militia
    1.16
     patrols
    0.88
     brig
    0.86
     commanders
    0.86
     bands
    0.85
     councill
    0.84
     paramilitary
    0.83
     members
    0.80
     commander
    0.78
    Activations Density 0.012%

    No Known Activations