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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. 12096
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    Explanations

    words related to physical movements or actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to sports and physical actions

    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
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    No Comments

    Negative Logits
    ALE
    -0.67
    ORE
    -0.64
    itutional
    -0.60
    None
    -0.58
    ORGE
    -0.58
    AMI
    -0.57
     Pacific
    -0.57
     Apollo
    -0.56
     Owners
    -0.56
     International
    -0.56
    POSITIVE LOGITS
    bling
    1.28
    bled
    1.23
     drib
    1.20
    bly
    1.08
    bles
    1.03
    bler
    1.00
    ble
    0.87
    blers
    0.87
     overfl
    0.80
    les
    0.79
    Activations Density 0.007%

    No Known Activations