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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. 4-RES-JB
    11. 19855
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    Explanations

    the word "cheer" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    references to cheering and support for people or events

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

    No Comments

    Negative Logits
    ngth
    -0.75
    enture
    -0.63
    arin
    -0.63
    entin
    -0.63
     fung
    -0.62
    orgetown
    -0.62
    urious
    -0.62
     Danger
    -0.61
     sequest
    -0.60
     scissors
    -0.59
    POSITIVE LOGITS
    leader
    1.21
    leading
    1.18
     cheer
    1.15
    leaders
    1.12
    fulness
    1.06
     cheering
    0.99
    lead
    0.96
     cheered
    0.92
    fully
    0.91
    steen
    0.87
    Activations Density 0.012%

    No Known Activations