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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. 9-RES-JB
    11. 14399
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    Explanations

    phrases related to legal or official documents

    oai_token-act-pair · gpt-3.5-turbo

    negative aspects or consequences related to situations or decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Splash
    -0.69
     Ling
    -0.66
     Thousand
    -0.66
     Arrows
    -0.64
     Ble
    -0.64
     flares
    -0.63
     penetrating
    -0.63
     Scotia
    -0.63
     penetration
    -0.63
     ray
    -0.62
    POSITIVE LOGITS
    be
    1.17
    dos
    1.12
    morrow
    1.08
    order
    1.07
    date
    1.04
    learn
    0.99
    die
    0.99
    merce
    0.98
    prison
    0.95
    days
    0.95
    Activations Density 0.034%

    No Known Activations