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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. 315
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    Explanations

    descriptions of artistic or sensory elements, particularly related to visual and auditory experiences

    oai_token-act-pair · gpt-3.5-turbo
    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
    actionDate
    -0.77
    ctr
    -0.76
     Newsp
    -0.72
    vernment
    -0.68
     Myth
    -0.67
     Suppose
    -0.66
     Username
    -0.65
    UTH
    -0.65
     Terms
    -0.65
     Internet
    -0.65
    POSITIVE LOGITS
     beautifully
    1.21
     wonderfully
    1.15
     nicely
    1.13
     seamlessly
    1.11
     contrasted
    1.10
     compliment
    1.10
     accent
    1.09
     effortlessly
    1.09
     accents
    1.06
     juxtap
    1.05
    Activations Density 0.500%

    No Known Activations