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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. 5-RES-JB
    6. 834
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    Explanations

    verbs/actions related to online activities or transactions

    oai_token-act-pair · gpt-3.5-turbo

    verbs and actions related to interactions and transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.76
    thur
    -0.74
    brew
    -0.70
    berra
    -0.68
    Enlarge
    -0.67
    nets
    -0.63
    Nit
    -0.63
    emonic
    -0.62
    hon
    -0.60
    NBC
    -0.59
    POSITIVE LOGITS
     oneself
    0.67
     Colossus
    0.65
     safely
    0.62
     anyway
    0.62
     rul
    0.60
     theirs
    0.60
    alogue
    0.60
     badly
    0.60
     yours
    0.60
     horizont
    0.60
    Activations Density 0.966%

    No Known Activations