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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. 15126
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    Explanations

    proper nouns related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    names of people and places

    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
     riot
    -0.72
    ©¶æ
    -0.71
    ¿½
    -0.70
    ipal
    -0.69
    perse
    -0.69
    skinned
    -0.67
    verty
    -0.66
    river
    -0.63
     intellectual
    -0.62
    xual
    -0.61
    POSITIVE LOGITS
    glers
    1.06
    lehem
    0.79
    acco
    0.77
    boa
    0.76
    ril
    0.74
    chen
    0.74
    ature
    0.74
    herer
    0.73
     XVI
    0.73
    ament
    0.73
    Activations Density 0.050%

    No Known Activations