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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. 1-RES-JB
    11. 361
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    Explanations

    terms related to information requests or inquiries

    oai_token-act-pair · gpt-3.5-turbo

    the term "request" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tal
    -0.74
     Surv
    -0.72
     Brill
    -0.71
     Sul
    -0.69
    icals
    -0.65
     deg
    -0.64
    oiler
    -0.64
     Flavoring
    -0.63
    moving
    -0.63
     Sco
    -0.61
    POSITIVE LOGITS
     request
    1.20
     requests
    1.17
    request
    1.07
     requested
    0.94
     permission
    0.89
     solicitation
    0.89
     requesting
    0.84
     warrants
    0.83
     invitation
    0.83
     Request
    0.81
    Activations Density 0.018%

    No Known Activations