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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. 4198
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    Explanations

    phrases related to military weaponry and operations, specifically focused on artillery

    oai_token-act-pair · gpt-3.5-turbo

    words related to artillery and bombardment

    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
    Lear
    -0.87
    Emb
    -0.86
    ————————————————
    -0.86
    Redd
    -0.83
     Neph
    -0.82
    lihood
    -0.78
    Gene
    -0.76
    Animal
    -0.75
    ————————
    -0.75
    Scot
    -0.73
    POSITIVE LOGITS
     bombardment
    1.22
     shelling
    1.16
     artillery
    1.09
    illery
    0.95
     shells
    0.92
     bombard
    0.92
     mortar
    0.91
     barr
    0.90
     Warfare
    0.81
     barrage
    0.80
    Activations Density 0.015%

    No Known Activations