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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 23539
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    INDEX
    Explanations

    locations in a city

    oai_token-act-pair · gpt-3.5-turbo

    specific locations and addresses

    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
    merga
    -0.75
     organising
    -0.72
    escription
    -0.72
    omsky
    -0.70
     analysed
    -0.70
     saliva
    -0.70
    anguage
    -0.69
     vacc
    -0.69
     reperto
    -0.69
     learnt
    -0.68
    POSITIVE LOGITS
     Avenue
    1.42
     Boulevard
    1.42
     Blvd
    1.31
     Ave
    1.18
     Plaza
    1.16
     Street
    1.14
     Rd
    1.10
     Parkway
    1.09
     Junction
    1.09
     Downs
    1.08
    Activations Density 0.214%

    No Known Activations