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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. 10942
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    Explanations

    , by analyzing the activations, it appears that Neuron 4 is looking for specific names or mentions of individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to advocacy or reminding audiences of important issues

    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
     guiActiveUnfocused
    -0.63
    )</
    -0.57
     \"
    -0.57
     unfocusedRange
    -0.57
    Crew
    -0.56
    sed
    -0.55
    "},"
    -0.55
     underwater
    -0.54
     [|
    -0.54
     \'
    -0.54
    POSITIVE LOGITS
    withstanding
    0.85
     Facts
    0.79
     Chomsky
    0.76
     rhetorical
    0.71
     analogy
    0.69
    zbollah
    0.69
     salient
    0.68
     Argument
    0.67
     Salon
    0.66
     notwithstanding
    0.66
    Activations Density 0.755%

    No Known Activations