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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
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    expressions of gratitude

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude

    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
     diver
    -0.74
     projecting
    -0.73
     projected
    -0.67
     projection
    -0.61
    ccording
    -0.60
    IDER
    -0.60
     resembled
    -0.60
     emitted
    -0.59
     conver
    -0.58
     displ
    -0.58
    POSITIVE LOGITS
     goodness
    1.14
    giving
    1.09
     heavens
    1.05
    fulness
    0.95
     god
    0.93
    fully
    0.91
    gements
    0.90
     God
    0.90
    gments
    0.87
    SG
    0.85
    Activations Density 0.033%

    No Known Activations