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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. 11-RES-JB
    11. 17642
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    Explanations

    words related to size, whether it's big, deep, thick, fat, or small

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors related to size and weight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IONS
    -0.80
    MENTS
    -0.78
    MENT
    -0.62
     Painter
    -0.61
    ocrat
    -0.60
     Accord
    -0.59
     Hosp
    -0.57
    ility
    -0.56
     Lifetime
    -0.56
     Abilities
    -0.56
    POSITIVE LOGITS
     enough
    1.24
    founded
    1.11
    sided
    1.04
    gered
    1.04
    stru
    1.00
    ened
    0.98
    listed
    0.96
     eyed
    0.95
    footed
    0.93
    faced
    0.93
    Activations Density 0.278%

    No Known Activations