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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. 3-RES-JB
    11. 9587
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    Explanations

    terminology related to rules, guidelines, or instructions

    oai_token-act-pair · gpt-3.5-turbo

    words associated with assertiveness and definitiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    obyl
    -0.82
    é¾įå
    -0.76
    ournal
    -0.76
    erva
    -0.72
    olicited
    -0.70
    idays
    -0.69
    owship
    -0.68
    acea
    -0.67
    atson
    -0.66
    acca
    -0.66
    POSITIVE LOGITS
    ive
    0.94
    ãĥ£
    0.83
    ptic
    0.78
    rics
    0.75
    mble
    0.70
     pronoun
    0.70
    cery
    0.69
    lation
    0.69
    lly
    0.68
     minded
    0.66
    Activations Density 0.020%

    No Known Activations