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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. 7-RES-JB
    11. 11217
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    Explanations

    professionals or individuals in specific roles within various contexts

    oai_token-act-pair · gpt-3.5-turbo

    roles or titles associated with individuals in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilion
    -0.78
    ramid
    -0.76
    eking
    -0.71
    edge
    -0.71
    atari
    -0.68
    estate
    -0.68
    illet
    -0.67
    word
    -0.67
    crew
    -0.66
    apo
    -0.66
    POSITIVE LOGITS
     extraord
    1.32
     Joel
    1.01
     Alan
    1.00
     Jason
    1.00
     Stephen
    0.99
     Emily
    0.98
     Shaun
    0.97
     David
    0.96
     Suzanne
    0.96
     Joe
    0.95
    Activations Density 0.273%

    No Known Activations