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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. 7-RES-JB
    11. 21337
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    Explanations

    names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    parts of names or proper nouns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     ASIC
    -0.68
    coat
    -0.66
    atform
    -0.61
    ruary
    -0.60
    mouth
    -0.59
    ocular
    -0.58
     Graveyard
    -0.57
     harder
    -0.56
     canopy
    -0.56
    sheets
    -0.54
    POSITIVE LOGITS
    士
    0.70
    ili
    0.69
    allah
    0.67
    chal
    0.67
    itia
    0.66
    ãĥĨ
    0.64
    utsche
    0.63
    hya
    0.63
    psons
    0.62
    ±
    0.61
    Activations Density 0.284%

    No Known Activations