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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 14555
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    Explanations

    mentions of various tours being taken or planned

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tour"

    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
     iod
    -0.68
     loose
    -0.64
    iction
    -0.62
    ĪĴ
    -0.61
     formulas
    -0.60
    ntax
    -0.60
    ioch
    -0.59
    ever
    -0.58
     alloy
    -0.58
     inherit
    -0.58
    POSITIVE LOGITS
    neys
    1.27
    ney
    1.14
    neau
    1.00
     tour
    0.96
     itiner
    0.94
    icular
    0.89
     tours
    0.88
    efully
    0.86
     Tours
    0.83
     touring
    0.83
    Activations Density 0.027%

    No Known Activations