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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. 1-RES-JB
    11. 22956
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    Explanations

    references to different entities or locations such as "Culver", "Vanity Fair", and "Faulkner"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific brands or companies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Butterfly
    -0.81
    */(
    -0.71
     Twain
    -0.69
     Zucker
    -0.61
     "+
    -0.60
     Monsanto
    -0.59
     trustworthy
    -0.58
     Kik
    -0.58
    eva
    -0.58
    upon
    -0.58
    POSITIVE LOGITS
     Cul
    1.16
    entric
    0.96
    seys
    0.88
    inary
    0.87
    iple
    0.85
    mination
    0.81
    ottesville
    0.79
    ocity
    0.79
    acci
    0.78
    iHUD
    0.76
    Activations Density 0.008%

    No Known Activations