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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. 7-RES-JB
    11. 20634
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    Explanations

    phrases indicating a comparison or a choice between two options

    oai_token-act-pair · gpt-3.5-turbo

    phrases concerning uncertainty or conditional statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Pony
    -0.67
     Room
    -0.61
     Rocket
    -0.59
     Symphony
    -0.59
     Chau
    -0.59
    ://
    -0.56
     Romeo
    -0.56
     Trophy
    -0.56
     Cardinal
    -0.56
     Tele
    -0.56
    POSITIVE LOGITS
    Else
    0.99
    acles
    0.96
     else
    0.80
    acle
    0.79
    rogens
    0.75
    nam
    0.73
    odd
    0.70
    rame
    0.69
    rist
    0.68
    rha
    0.67
    Activations Density 0.022%

    No Known Activations