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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. 10-RES-JB
    11. 7130
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    INDEX
    Explanations

    words related to opponents or threats in a combat or competitive context

    oai_token-act-pair · gpt-3.5-turbo

    references to adversarial forces or enemies in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ajo
    -0.78
    oled
    -0.76
    gow
    -0.74
    ming
    -0.72
    aza
    -0.72
    eret
    -0.71
    isol
    -0.71
    ooked
    -0.71
    uesday
    -0.70
    olic
    -0.69
    POSITIVE LOGITS
     combatants
    1.14
     fighters
    0.78
    htar
    0.77
     Territory
    0.77
     Enemy
    0.74
     vanquished
    0.74
     horde
    0.73
     Militia
    0.73
     army
    0.73
     commander
    0.73
    Activations Density 0.050%

    No Known Activations