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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. 7058
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    Explanations

    phrases related to ceremonial or official events

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days or events

    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
    onne
    -0.75
    ¶æ
    -0.71
    uliffe
    -0.70
    ationally
    -0.68
    gage
    -0.67
    entially
    -0.67
    estone
    -0.67
    acus
    -0.66
    Äĩ
    -0.65
    ciplinary
    -0.64
    POSITIVE LOGITS
     reckoning
    1.30
     festivities
    0.85
     commem
    0.85
     remembrance
    0.84
     Remem
    0.81
     madness
    0.80
     celebration
    0.80
     protest
    0.74
     mourning
    0.73
     Notting
    0.71
    Activations Density 0.095%

    No Known Activations