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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. 6-RES-JB
    11. 4421
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    Explanations

    personal pronouns followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their claims or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    raft
    -0.78
    ournal
    -0.78
    resa
    -0.74
    ancial
    -0.72
    erity
    -0.68
    urgical
    -0.67
    reating
    -0.66
    inctions
    -0.66
    unic
    -0.66
    achine
    -0.65
    POSITIVE LOGITS
    Ö¼
    0.90
     sorely
    0.87
     dearly
    0.79
     describes
    0.73
     evidently
    0.72
     duly
    0.71
    è»
    0.71
     gladly
    0.70
    'd
    0.69
     sadly
    0.69
    Activations Density 0.153%

    No Known Activations