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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. 17054
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    Explanations

    words related to different types of weapons

    oai_token-act-pair · gpt-3.5-turbo

    terms related to weapons and weaponry

    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
    gres
    -0.82
    lus
    -0.77
     coli
    -0.74
     Strawberry
    -0.72
    forth
    -0.71
    greSQL
    -0.69
     Organic
    -0.68
    noon
    -0.67
    apest
    -0.67
    fo
    -0.67
    POSITIVE LOGITS
     weapon
    0.91
    powder
    0.89
     salute
    0.88
     weapons
    0.85
     wielded
    0.82
     manufacturer
    0.77
     arsenal
    0.76
     caches
    0.75
    izes
    0.74
    weapon
    0.72
    Activations Density 0.017%

    No Known Activations