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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. 6-RES-JB
    6. 3421
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    Explanations

    phrases related to obtaining information or evidence

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to acquiring or gaining access to information or resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heartedly
    -0.77
    erness
    -0.64
    psc
    -0.64
    hov
    -0.64
    gaard
    -0.59
    cas
    -0.58
    mans
    -0.58
    brace
    -0.57
     Mouth
    -0.57
    timer
    -0.56
    POSITIVE LOGITS
     permission
    0.86
    女
    0.79
    andom
    0.77
     authorization
    0.76
    DragonMagazine
    0.73
     access
    0.73
     signatures
    0.70
     warrants
    0.70
    OGR
    0.70
     permits
    0.70
    Activations Density 0.040%

    No Known Activations