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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. 8-RES-JB
    11. 4260
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    terms related to ammunition and weapons

    oai_token-act-pair · gpt-3.5-turbo

    terms related to ammunition and weaponry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.78
    aido
    -0.76
    liness
    -0.75
    visible
    -0.74
    Scotland
    -0.73
    alysed
    -0.70
    lands
    -0.68
    leans
    -0.68
    hu
    -0.67
    lihood
    -0.67
    POSITIVE LOGITS
     cartridges
    1.10
     ammunition
    1.02
     ammo
    0.98
     Ammunition
    0.93
    munition
    0.92
     bolts
    0.87
    powder
    0.84
     Ammo
    0.83
     cartridge
    0.83
     Bullets
    0.83
    Activations Density 0.046%

    No Known Activations