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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. 4-RES-JB
    11. 2380
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    Explanations

    phrases related to exploration or investigation

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "explore"

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

    No Comments

    Negative Logits
    manship
    -0.72
     Nadu
    -0.69
    maid
    -0.69
    chery
    -0.68
    Downloadha
    -0.66
    boarding
    -0.66
    FACE
    -0.65
    mast
    -0.64
     nerve
    -0.64
    grass
    -0.63
    POSITIVE LOGITS
    oded
    1.14
    oding
    1.10
    oit
    1.08
    icit
    1.03
    orers
    1.01
    odes
    1.00
    ained
    1.00
    osion
    0.99
    ainer
    0.99
    orer
    0.97
    Activations Density 0.012%

    No Known Activations