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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. 9-RES-JB
    11. 10104
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    INDEX
    Explanations

    expressions of gratitude and appreciation

    oai_token-act-pair · gpt-3.5-turbo

    key terms related to gratitude and thankfulness

    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
     ..."
    -1.02
    ''.
    -0.85
     '.
    -0.82
     ana
    -0.77
    !".
    -0.77
     Photograph
    -0.76
     Nato
    -0.75
     £
    -0.74
     maths
    -0.73
     âĢ¦"
    -0.72
    POSITIVE LOGITS
    entimes
    1.03
     utilizing
    1.01
     utilized
    0.97
     utilize
    0.87
     utilizes
    0.85
     proactive
    0.83
    Additionally
    0.78
     transitioned
    0.77
     advancements
    0.76
     transitioning
    0.76
    Activations Density 1.734%

    No Known Activations