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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
    11. 4474
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    Explanations

    references to military tactics or conflicts

    oai_token-act-pair · gpt-3.5-turbo

    references to sieges or besiegement events

    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
    aunder
    -0.83
    20439
    -0.80
     Tradable
    -0.74
    acted
    -0.73
    oji
    -0.72
    uana
    -0.71
    OGR
    -0.71
    acts
    -0.71
    ial
    -0.71
    arette
    -0.71
    POSITIVE LOGITS
     siege
    1.19
     Siege
    0.98
     besie
    0.93
     besieged
    0.84
     bombard
    0.83
    thouse
    0.82
    hammer
    0.80
     bombardment
    0.76
     defences
    0.75
     blockade
    0.74
    Activations Density 0.010%

    No Known Activations