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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. 7219
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    INDEX
    Explanations

    mentions of a specific entity, "Monster"

    oai_token-act-pair · gpt-3.5-turbo

    references to various "monsters" in different contexts

    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
    ories
    -0.84
    ynski
    -0.80
    arers
    -0.78
    nington
    -0.77
    choes
    -0.77
    lar
    -0.77
    atche
    -0.76
    nor
    -0.73
    atories
    -0.72
    lest
    -0.71
    POSITIVE LOGITS
     monsters
    0.89
     monster
    0.86
     beasts
    0.84
     Fenrir
    0.77
     Monsters
    0.76
    busters
    0.76
    igslist
    0.74
     killers
    0.74
     beast
    0.73
     hunts
    0.73
    Activations Density 0.019%

    No Known Activations