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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. 11-RES-JB
    11. 24399
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    Explanations

    words related to seeking or requesting something, often in a formal or official context

    oai_token-act-pair · gpt-3.5-turbo

    words related to requests or demands for something, particularly in a legal or formal context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cyn
    -0.73
     parity
    -0.64
     symmetry
    -0.63
    lessness
    -0.63
     Tyr
    -0.62
     variance
    -0.61
     observers
    -0.61
     Worlds
    -0.60
     vigilance
    -0.60
     glances
    -0.59
    POSITIVE LOGITS
    ated
    1.22
    ating
    1.05
    ates
    1.02
    ate
    1.00
    ats
    0.96
    atin
    0.96
    ased
    0.95
    ational
    0.94
    ATED
    0.93
    ieve
    0.93
    Activations Density 0.084%

    No Known Activations