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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12227
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    Explanations

    terms related to significant historical figures or events

    oai_token-act-pair · gpt-3.5-turbo

    references to George Orwell and his works, particularly "1984", along with associated themes

    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
    ¥
    -0.71
    origin
    -0.70
    yout
    -0.70
    venge
    -0.69
     mortgages
    -0.69
    Ń
    -0.67
    worthiness
    -0.66
     Wealth
    -0.65
    iste
    -0.65
     transact
    -0.64
    POSITIVE LOGITS
     Orwell
    0.80
    DragonMagazine
    0.71
    ONSORED
    0.68
     Patton
    0.68
     Canaver
    0.67
     AFB
    0.67
     Osw
    0.66
    rella
    0.66
    agus
    0.66
    asant
    0.65
    Activations Density 0.069%

    No Known Activations