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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. 8-RES-JB
    11. 24319
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    Explanations

    phrases related to various uses or forms of items or substances

    oai_token-act-pair · gpt-3.5-turbo

    terms related to food, health, and consumption practices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agate
    -0.66
    omo
    -0.66
     ceilings
    -0.66
    usalem
    -0.65
    doms
    -0.64
    odore
    -0.63
     Reck
    -0.63
    qus
    -0.62
     Winds
    -0.61
    ynski
    -0.60
    POSITIVE LOGITS
     reliever
    0.93
     basis
    0.80
    ifier
    0.79
    stay
    0.76
     alongside
    0.75
     unto
    0.75
     centerpiece
    0.75
     tool
    0.75
     identifier
    0.74
     for
    0.71
    Activations Density 0.327%

    No Known Activations