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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. 0-RES-JB
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    Explanations

    words related to being armed or involving weapons

    oai_token-act-pair · gpt-3.5-turbo

    terms related to arms and armaments, particularly in the context of military and conflict scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     landsc
    -0.74
    rences
    -0.68
     Dungeons
    -0.63
    itable
    -0.63
    fters
    -0.62
     matching
    -0.62
     domin
    -0.60
     polyg
    -0.60
     mortgage
    -0.60
    arial
    -0.60
    POSITIVE LOGITS
    armed
    1.83
    urst
    1.76
    east
    1.39
    aired
    1.30
    two
    1.04
    along
    1.01
    roe
    0.97
    hap
    0.87
    ulse
    0.85
    inois
    0.85
    Activations Density 0.055%

    No Known Activations