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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. 11442
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    Explanations

    phrases related to communication or information-sharing

    oai_token-act-pair · gpt-3.5-turbo

    sentences that convey final statements or conclusions

    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
     recovering
    -0.77
     patience
    -0.76
     endurance
    -0.75
     stability
    -0.74
     heal
    -0.74
    oslav
    -0.73
     surviv
    -0.73
     retire
    -0.72
     ener
    -0.71
     regener
    -0.71
    POSITIVE LOGITS
     Presumably
    1.07
     According
    1.04
     Apparently
    1.04
     Moments
    1.01
     Messages
    1.00
     Readers
    0.99
     Included
    0.97
     Interestingly
    0.96
     Users
    0.95
     Minutes
    0.93
    Activations Density 0.705%

    No Known Activations