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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. 20636
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    Explanations

    words related to rules, instructions, and obligations

    oai_token-act-pair · gpt-3.5-turbo

    citations or references in quotation marks

    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
     bending
    -0.86
     periodic
    -0.76
     raft
    -0.75
     ticket
    -0.72
     whistle
    -0.72
     pacing
    -0.71
     slate
    -0.71
     favor
    -0.70
     halfway
    -0.69
     publishing
    -0.68
    POSITIVE LOGITS
    soDeliveryDate
    1.45
    BuyableInstoreAndOnline
    1.26
    true
    1.21
    WHERE
    1.15
    short
    1.14
    false
    1.11
    little
    1.10
    nothing
    1.08
    Nature
    1.08
    final
    1.06
    Activations Density 0.077%

    No Known Activations