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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. 19012
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    Explanations

    specific instances where the user is prompted to take action in relation to their electronic devices

    oai_token-act-pair · gpt-3.5-turbo

    references to possession or ownership related to the reader's personal devices and projects

    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
    apo
    -0.77
    atos
    -0.72
     Goes
    -0.70
     traged
    -0.70
    abl
    -0.70
    amar
    -0.69
     Teach
    -0.67
     Tad
    -0.66
    puff
    -0.65
    ilts
    -0.64
    POSITIVE LOGITS
     own
    1.37
     favourite
    1.19
     favorite
    1.13
     desired
    1.04
     router
    1.01
     preferred
    0.99
     opponent
    0.98
     imagination
    0.96
     existing
    0.95
     liking
    0.95
    Activations Density 0.235%

    No Known Activations