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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. 3-RES-JB
    11. 16604
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    Explanations

    phrases related to sending or receiving emails

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "send" and its related forms in the context of email communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Borders
    -0.74
    arist
    -0.65
    heid
    -0.61
     fossil
    -0.61
    urity
    -0.59
     Finish
    -0.59
     sanctioned
    -0.58
     disadvantages
    -0.58
     toughness
    -0.58
    iece
    -0.58
    POSITIVE LOGITS
     Emails
    0.92
    mail
    0.90
    Message
    0.87
     SMS
    0.87
     emails
    0.86
    Mail
    0.86
    mess
    0.85
    email
    0.83
    soever
    0.83
    message
    0.83
    Activations Density 0.039%

    No Known Activations