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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. 11-RES-JB
    11. 9297
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    INDEX
    Explanations

    positive adjectives to describe different aspects of a film such as its debut, atmosphere, or entertainment value

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of film quality and genre

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iencies
    -1.01
     Cosponsors
    -0.94
    osponsors
    -0.91
    adders
    -0.90
    soType
    -0.87
    Statistics
    -0.86
    igham
    -0.82
    encies
    -0.79
    Methods
    -0.79
    Magikarp
    -0.79
    POSITIVE LOGITS
     thriller
    1.42
     masterpiece
    1.41
     sequel
    1.33
     satire
    1.27
     tale
    1.26
     trilogy
    1.26
     remake
    1.20
     homage
    1.14
     anthology
    1.14
     reboot
    1.13
    Activations Density 0.274%

    No Known Activations