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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. 10079
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    Explanations

    specific mentions of ranches

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ranches

    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
    lihood
    -0.68
     dism
    -0.65
    ABLE
    -0.63
    */(
    -0.61
     Bok
    -0.60
     chromos
    -0.59
     Wong
    -0.58
     Bucc
    -0.57
     decom
    -0.56
     Commonwealth
    -0.56
    POSITIVE LOGITS
     ranch
    0.96
    ing
    0.83
    ington
    0.82
     Bundy
    0.81
    yard
    0.81
    agna
    0.80
    aires
    0.77
     Ranch
    0.76
    oise
    0.75
    naire
    0.74
    Activations Density 0.017%

    No Known Activations