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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. 14654
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to requests or demands for action or information

    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
    Ĥ¬
    -0.81
    âĶĢâĶĢ
    -0.76
     Scouting
    -0.73
    cutting
    -0.67
    ccording
    -0.65
     Magicka
    -0.65
     Cock
    -0.63
    marine
    -0.62
     Nanto
    -0.62
    smoking
    -0.61
    POSITIVE LOGITS
     rhet
    1.13
     probing
    1.00
     questions
    1.00
    naires
    0.92
    erville
    0.91
     forgiveness
    0.91
    ioned
    0.87
    govtrack
    0.86
     permission
    0.83
    wered
    0.82
    Activations Density 0.040%

    No Known Activations