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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. 9-RES-JB
    11. 20275
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    Explanations

    personal pronouns and verbs related to personal experiences and reflections

    oai_token-act-pair · gpt-3.5-turbo

    expressions of anger and frustration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    skirts
    -0.75
    UCT
    -0.64
    æ©Ł
    -0.63
    olate
    -0.62
    ollow
    -0.60
    riched
    -0.60
    verning
    -0.59
    saf
    -0.59
    naires
    -0.58
    ITNESS
    -0.57
    POSITIVE LOGITS
    itar
    0.77
    encia
    0.72
     belonged
    0.67
     belong
    0.65
     ought
    0.62
    ãĤ«
    0.60
    Thumbnail
    0.59
    ansson
    0.58
     centr
    0.56
    TOR
    0.56
    Activations Density 0.451%

    No Known Activations