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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. 8744
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    Explanations

    actions related to communication through different methods such as calling or emailing

    oai_token-act-pair · gpt-3.5-turbo

    instances of communication involving phone calls or outreach

    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
     trailed
    -0.70
     contrasts
    -0.66
     intrinsically
    -0.62
     thri
    -0.61
     epit
    -0.61
    lived
    -0.61
     dominates
    -0.61
     lux
    -0.60
     quadru
    -0.60
     masks
    -0.60
    POSITIVE LOGITS
     requesting
    0.95
     representatives
    0.85
     mediation
    0.81
     informing
    0.81
     advise
    0.80
     urgently
    0.79
     superiors
    0.79
    Tele
    0.79
     permission
    0.78
    Ur
    0.78
    Activations Density 0.950%

    No Known Activations