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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
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    Explanations

    terms related to military units, such as infantry, artillery, and cavalry

    oai_token-act-pair · gpt-3.5-turbo

    terms related to military forces and personnel, particularly infantry and cavalry

    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
    à
    -0.84
    BOOK
    -0.67
     BET
    -0.65
    女
    -0.65
     Prosper
    -0.65
    given
    -0.65
     Bie
    -0.64
    */(
    -0.64
    Ven
    -0.61
    ________________________
    -0.61
    POSITIVE LOGITS
     barracks
    1.00
     colonel
    0.99
     infantry
    0.95
     battalion
    0.92
     Infantry
    0.89
     barr
    0.87
     Regiment
    0.84
    utenant
    0.84
     patrols
    0.84
    ratulations
    0.83
    Activations Density 0.015%

    No Known Activations