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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. 17309
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    Explanations

    phrases related to recommendations or high praise

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating recommended or essential content

    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
    luaj
    -0.74
     :(
    -0.68
     ;)
    -0.64
    erity
    -0.61
     regrets
    -0.58
    ]).
    -0.57
     stupidity
    -0.56
    ById
    -0.56
     pecul
    -0.55
     inacc
    -0.54
    POSITIVE LOGITS
    boarding
    0.60
     classroom
    0.58
     outdoor
    0.58
     outdoors
    0.56
     enrolled
    0.56
     enroll
    0.55
     onboard
    0.53
     workplace
    0.53
    packing
    0.53
     indoor
    0.53
    Activations Density 1.659%

    No Known Activations