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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
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    Explanations

    names of people and places

    oai_token-act-pair · gpt-3.5-turbo

    the name "Wald" mentioned in various contexts

    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
     SER
    -0.69
     partName
    -0.68
    BILITY
    -0.66
     Occupations
    -0.64
    INTER
    -0.62
    ession
    -0.61
     dism
    -0.60
     Hussain
    -0.60
     EFF
    -0.60
    imester
    -0.59
    POSITIVE LOGITS
    stad
    1.07
    stadt
    0.99
    orf
    0.95
    nesday
    0.93
    roth
    0.93
    enstein
    0.93
     Wald
    0.92
    ©¶æ¥µ
    0.87
    owship
    0.85
    rum
    0.83
    Activations Density 0.007%

    No Known Activations