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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. 8-RES-JB
    11. 17076
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    Explanations

    communications-oriented words or phrases, including receiving emails, phone calls, comments, complaints, and feedback

    oai_token-act-pair · gpt-3.5-turbo

    instances of feedback and communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Surv
    -0.65
    termin
    -0.64
     Columb
    -0.63
     Journals
    -0.61
    jong
    -0.61
    conserv
    -0.61
    riet
    -0.60
     segreg
    -0.60
     redeem
    -0.60
     cured
    -0.58
    POSITIVE LOGITS
     criticism
    1.37
     requests
    1.35
     criticisms
    1.24
     inquiries
    1.21
     complaints
    1.20
     suggestions
    1.09
     queries
    1.08
     calls
    1.08
     objections
    1.08
     backlash
    1.04
    Activations Density 0.886%

    No Known Activations