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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. 4496
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    Explanations

    phrases related to abilities or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to limitations and inability

    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
    ghan
    -0.64
    naire
    -0.63
    ollah
    -0.63
    leted
    -0.62
    rongh
    -0.59
     mull
    -0.58
    rather
    -0.57
    ortment
    -0.57
     rather
    -0.56
    igl
    -0.55
    POSITIVE LOGITS
     anymore
    1.37
     nor
    0.95
     anything
    0.91
    urate
    0.86
    uate
    0.84
     any
    0.81
     anybody
    0.81
     anywhere
    0.76
     adequately
    0.75
     anyone
    0.74
    Activations Density 0.200%

    No Known Activations