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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. 10-RES-JB
    11. 1433
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ists
    -0.75
    lege
    -0.70
    ista
    -0.70
     laughed
    -0.69
    RIP
    -0.68
    amy
    -0.67
    opol
    -0.66
    zynski
    -0.66
    warm
    -0.66
    rium
    -0.65
    POSITIVE LOGITS
     behalf
    1.73
     improving
    1.20
     developing
    1.03
     projects
    1.00
     integrating
    1.00
     constructing
    0.99
     solving
    0.97
     resolving
    0.96
     securing
    0.95
     figuring
    0.95
    Activations Density 0.098%

    No Known Activations