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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. 10-RES-JB
    11. 21739
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    Explanations

    terms related to concerns, experiences, or expressions of opinions

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to personal experience or testimony

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¤
    -0.73
    inals
    -0.70
    addons
    -0.70
     ransom
    -0.68
    Ingredients
    -0.68
    oops
    -0.67
    agnetic
    -0.62
    idelines
    -0.62
     Hide
    -0.61
    ukong
    -0.61
    POSITIVE LOGITS
     experience
    1.15
     firsthand
    1.15
     experien
    1.13
     familiarity
    0.99
     intimately
    0.95
     experiences
    0.95
     undergrad
    0.94
     lifelong
    0.94
     acquaintance
    0.94
    exper
    0.93
    Activations Density 0.431%

    No Known Activations