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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. 11-RES-JB
    11. 1568
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    Explanations

    expressions of gratitude and appreciation

    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 @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.64
     sidx
    -0.62
    chio
    -0.60
     refuted
    -0.60
    ILLE
    -0.56
     flats
    -0.56
     contradicted
    -0.55
     diver
    -0.54
     indexed
    -0.52
     lured
    -0.51
    POSITIVE LOGITS
     goodness
    1.31
     heavens
    1.22
     god
    1.10
    fulness
    1.10
    you
    1.07
     God
    1.05
     you
    1.02
    giving
    0.99
    ful
    0.98
    god
    0.97
    Activations Density 0.039%

    No Known Activations