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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. 23119
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    INDEX
    Explanations

    verbs or phrases indicating decision-making or actions taken

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to actions or decisions

    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
    assic
    -0.75
    fortunately
    -0.65
     evidenced
    -0.64
     Glob
    -0.61
    itcher
    -0.60
     fortunately
    -0.59
    stellar
    -0.58
    surv
    -0.58
    acs
    -0.58
     wont
    -0.58
    POSITIVE LOGITS
    enance
    0.94
    igate
    0.85
    dress
    0.79
     him
    0.71
    itate
    0.71
    uate
    0.70
     them
    0.70
     seiz
    0.68
     withdrawals
    0.68
    escription
    0.68
    Activations Density 0.395%

    No Known Activations