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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. 4-RES-JB
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    Explanations

    references to visiting places and people

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "visit" and its variations

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

    No Comments

    Negative Logits
    starter
    -0.69
    corn
    -0.68
     foundation
    -0.65
     overrun
    -0.65
    cake
    -0.64
     sprung
    -0.64
     fumble
    -0.63
     padding
    -0.62
     foundations
    -0.62
     weighing
    -0.62
    POSITIVE LOGITS
    itors
    1.36
    itor
    1.32
    ibility
    1.00
    its
    0.93
    iting
    0.93
    apore
    0.92
    ison
    0.92
    itation
    0.89
    ited
    0.88
    iors
    0.88
    Activations Density 0.011%

    No Known Activations