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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. 2-RES-JB
    11. 2019
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    Explanations

    references to mythological creatures or powerful entities

    oai_token-act-pair · gpt-3.5-turbo

    references to monsters, particularly in various contexts and characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atche
    -0.86
    arers
    -0.77
    ories
    -0.75
    nington
    -0.74
    lar
    -0.71
    rup
    -0.71
    lay
    -0.70
    omers
    -0.70
    ricted
    -0.70
    onder
    -0.70
    POSITIVE LOGITS
     monster
    0.98
     monsters
    0.94
     beasts
    0.87
    busters
    0.81
     beast
    0.80
     Monstrous
    0.77
     Fenrir
    0.76
    Monster
    0.75
    Tank
    0.74
     Monsters
    0.74
    Activations Density 0.012%

    No Known Activations