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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. 9-RES-JB
    11. 23964
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    Explanations

    words related to restarting, reorganizing, or resetting processes or situations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the prefix 'reb-' related to various contexts of recovery or restoration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.73
     à¨
    -0.71
    falls
    -0.69
    meal
    -0.67
     ages
    -0.66
     Valhalla
    -0.64
     Kafka
    -0.64
    âĢ¢âĢ¢
    -0.63
     Bene
    -0.62
     Abram
    -0.61
    POSITIVE LOGITS
    ounding
    1.26
    ooting
    1.13
    uffed
    1.12
    oots
    1.11
    ounded
    1.11
    uilding
    1.00
    uff
    1.00
    uked
    0.99
    inding
    0.96
    ukes
    0.95
    Activations Density 0.029%

    No Known Activations