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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. 10014
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    Explanations

    phrases that indicate a need for memory or recall of information

    oai_token-act-pair · gpt-3.5-turbo

    recurring reminders and notes throughout the text

    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
    raq
    -0.83
    ãĤ¼ãĤ¦ãĤ¹
    -0.82
    ails
    -0.80
    eton
    -0.75
    vati
    -0.74
    rate
    -0.71
    lean
    -0.71
    airs
    -0.70
    leen
    -0.70
    oru
    -0.67
    POSITIVE LOGITS
     caveats
    0.78
     unlike
    0.78
     SAF
    0.77
     THESE
    0.76
     beware
    0.76
     NEVER
    0.75
     THERE
    0.75
     ALWAYS
    0.74
     BEFORE
    0.73
     excludes
    0.72
    Activations Density 0.157%

    No Known Activations