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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. 5313
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    Explanations

    phrases related to showcasing or emphasizing actions or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating direction or action involving movement or progression

    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
    emouth
    -0.79
    ezvous
    -0.74
    velt
    -0.73
    nered
    -0.72
    kus
    -0.71
    ascus
    -0.70
    rio
    -0.69
    uncture
    -0.69
    ortment
    -0.66
    itions
    -0.65
    POSITIVE LOGITS
     smoothly
    0.73
     moot
    0.72
     smoother
    0.67
     dividends
    0.66
    gettable
    0.65
    versely
    0.63
     downhill
    0.63
     precedence
    0.62
     determining
    0.60
     unden
    0.60
    Activations Density 0.157%

    No Known Activations