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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. 2-RES-JB
    11. 8929
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    Explanations

    references to personal experiences or opinions

    oai_token-act-pair · gpt-3.5-turbo

    references to personal experiences and opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.89
     Tens
    -0.78
     Apply
    -0.71
    UG
    -0.70
     Removal
    -0.70
    REG
    -0.70
    ï¸
    -0.69
    ORK
    -0.69
    UMP
    -0.68
    fed
    -0.68
    POSITIVE LOGITS
    ised
    1.06
     belongings
    0.99
     personal
    0.93
     pronouns
    0.88
     autobi
    0.85
     consolation
    0.83
    personal
    0.82
    isations
    0.82
    isable
    0.82
     wellbeing
    0.82
    Activations Density 0.014%

    No Known Activations