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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. 3-RES-JB
    11. 16750
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    Explanations

    words related to sarcasm, snarkiness, or mocking comments

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the "sn" sound or pattern in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heid
    -0.89
    xual
    -0.78
     PowerPoint
    -0.71
    EMENT
    -0.70
    mine
    -0.68
    heit
    -0.67
    geist
    -0.62
    WAYS
    -0.62
    minus
    -0.60
    shire
    -0.60
    POSITIVE LOGITS
    obb
    1.18
    agging
    1.13
    agged
    1.13
    atches
    1.11
    atching
    1.09
    ugg
    1.06
    appy
    1.03
    opes
    1.02
    apper
    1.02
    ipes
    0.99
    Activations Density 0.007%

    No Known Activations