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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. 2255
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
    rency
    -0.73
    iqueness
    -0.73
    chance
    -0.67
    wit
    -0.67
    phas
    -0.65
    boro
    -0.65
     reeling
    -0.64
    mington
    -0.62
    bush
    -0.60
     hardness
    -0.60
    POSITIVE LOGITS
     Shutterstock
    0.96
     Thumbnails
    0.89
     caption
    0.85
    \/\/
    0.80
     Uriel
    0.73
     Copyright
    0.71
     courtesy
    0.70
     LINK
    0.69
     Videos
    0.68
    =/
    0.68
    Activations Density 0.077%

    No Known Activations