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

    occurrences of the word "machine"

    oai_token-act-pair · gpt-3.5-turbo

    references to "machine" in various contexts, particularly in relation to "machine guns" and potentially other automated or robotic entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alez
    -0.85
    raints
    -0.82
    uating
    -0.74
    uates
    -0.71
    iosyncr
    -0.69
     sqor
    -0.69
    uds
    -0.68
    bors
    -0.68
    rouse
    -0.67
    iaries
    -0.66
    POSITIVE LOGITS
    gun
    1.07
    guns
    0.99
     readable
    0.90
     learning
    0.86
    learning
    0.85
     Learning
    0.79
     guns
    0.78
    chnology
    0.78
     gunned
    0.73
    anical
    0.72
    Activations Density 0.035%

    No Known Activations