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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. 14989
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    Explanations

    sentences expressing strong opinions or emotions about various situations or events

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "that" in negative or critical contexts

    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
    aukee
    -0.74
    zman
    -0.72
     sidx
    -0.65
    ullivan
    -0.63
    uther
    -0.62
     dexter
    -0.61
    ead
    -0.59
    æĿ
    -0.59
    utable
    -0.59
    gur
    -0.59
    POSITIVE LOGITS
    soever
    0.79
     arose
    0.75
     someday
    0.74
     they
    0.67
     arises
    0.66
     exists
    0.66
    fy
    0.66
     sprang
    0.65
     lasted
    0.65
     someone
    0.63
    Activations Density 0.116%

    No Known Activations