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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. 6-RES-JB
    11. 12284
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    Explanations

    proper nouns

    oai_token-act-pair · gpt-3.5-turbo

    references to questioning and inquiry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     biod
    -0.69
     thereto
    -0.61
     associated
    -0.59
     respectively
    -0.59
     predominantly
    -0.57
     thereby
    -0.57
     depleted
    -0.57
     predomin
    -0.57
     separately
    -0.57
     �
    -0.56
    POSITIVE LOGITS
    resa
    0.94
    odore
    0.91
    laughter
    0.81
    nah
    0.80
     Subtle
    0.77
    yrics
    0.75
    word
    0.74
    imaru
    0.74
    tymology
    0.74
    foundland
    0.72
    Activations Density 0.545%

    No Known Activations