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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. 6939
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    Explanations

    mentions of built-in features or capabilities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the concept of being "built" or constructed into something

    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
     Unsure
    -0.77
    Published
    -0.62
     Cruel
    -0.60
     wrestle
    -0.59
    Senior
    -0.59
     Shooting
    -0.58
     Fren
    -0.57
    ingly
    -0.57
     Returning
    -0.57
    ????????
    -0.56
    POSITIVE LOGITS
     upon
    0.79
    ouver
    0.79
    hed
    0.75
     atop
    0.74
    ILD
    0.73
    built
    0.71
    packs
    0.69
     into
    0.68
     Bridges
    0.68
    strap
    0.67
    Activations Density 0.034%

    No Known Activations