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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. 4-RES-JB
    11. 4277
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    Explanations

    verbs related to intensifying or strengthening actions

    oai_token-act-pair · gpt-3.5-turbo

    words and forms related to the state of being or transformation

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

    No Comments

    Negative Logits
    TPPStreamerBot
    -0.65
     overseen
    -0.63
    alian
    -0.62
    =-=-=-=-=-=-=-=-
    -0.60
     parap
    -0.59
     Zucker
    -0.57
     headlined
    -0.56
    roma
    -0.56
     Mandatory
    -0.56
    ä¸ī
    -0.55
    POSITIVE LOGITS
    baugh
    0.80
    emies
    0.78
    olia
    0.73
    utation
    0.72
    iatus
    0.72
    burgh
    0.69
    chant
    0.69
    terday
    0.69
    iation
    0.68
    uated
    0.68
    Activations Density 0.030%

    No Known Activations