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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
    11. 11007
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    Explanations

    words or phrases related to symbolic or special characters

    oai_token-act-pair · gpt-3.5-turbo

    repeated symbols or characters that represent emphasis or emotion in the text

    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
    grass
    -0.78
    iculture
    -0.73
    onds
    -0.71
    flies
    -0.70
    ilion
    -0.68
    ppers
    -0.68
    icum
    -0.68
    ppings
    -0.67
    odium
    -0.67
     purse
    -0.67
    POSITIVE LOGITS
    âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦âĢ¦
    1.03
    âĢ¦âĢ¦âĢ¦âĢ¦
    0.94
    BUT
    0.85
    wait
    0.79
     Continue
    0.78
    etc
    0.72
    leans
    0.69
     uh
    0.68
    there
    0.68
    hovah
    0.68
    Activations Density 0.022%

    No Known Activations