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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. 1634
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    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    names of characters or individuals

    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
     agriculture
    -0.62
    Increase
    -0.59
    Pokémon
    -0.59
     Prevent
    -0.58
     subsistence
    -0.57
     CPC
    -0.57
     POLIT
    -0.57
    Beginning
    -0.55
    ĻĤ
    -0.55
     UNESCO
    -0.55
    POSITIVE LOGITS
     remembers
    1.01
     agrees
    1.00
    kson
    0.85
     laughs
    0.84
     knew
    0.83
    ucci
    0.82
     hadn
    0.82
     recalls
    0.82
     nodded
    0.82
     tells
    0.81
    Activations Density 0.461%

    No Known Activations