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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. 5085
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    Explanations

    locations or venues

    oai_token-act-pair · gpt-3.5-turbo

    locations and venues associated with events or gatherings

    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
     pse
    -0.76
     probabilities
    -0.75
    etimes
    -0.70
    terday
    -0.70
     syndrome
    -0.69
     favour
    -0.69
     outsiders
    -0.69
    itives
    -0.67
     verbs
    -0.66
     users
    -0.65
    POSITIVE LOGITS
     Museum
    1.53
     Hotel
    1.45
     Theater
    1.34
     Theatre
    1.32
     Library
    1.27
     Pavilion
    1.27
     Marriott
    1.22
     Dome
    1.21
     Amph
    1.20
     Memorial
    1.19
    Activations Density 0.278%

    No Known Activations