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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. 11-RES-JB
    11. 14693
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    Explanations

    sentences that contain filler words or clutter information

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nodd
    -0.77
     quir
    -0.64
     neighb
    -0.63
     outweigh
    -0.62
     refined
    -0.60
     destro
    -0.59
    ¥ŀ
    -0.59
     spitting
    -0.59
     describ
    -0.58
     piping
    -0.56
    POSITIVE LOGITS
    ,,
    1.55
    ,.
    1.32
    ,,,,
    1.29
     ,
    1.24
    ,...
    1.21
    (),
    1.20
    ?,
    1.18
    ,,,,,,,,
    1.17
    !,
    1.17
    ,
    1.16
    Activations Density 0.160%

    No Known Activations