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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. 0-RES-JB
    11. 19847
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    Explanations

    references to the word "cher" in the text

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the suffix "cher"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãģį
    -0.74
     shares
    -0.69
     blocks
    -0.64
     backgrounds
    -0.64
     Indy
    -0.63
     Islands
    -0.62
     NRS
    -0.60
     tons
    -0.60
     bonding
    -0.59
     rebounds
    -0.59
    POSITIVE LOGITS
    cher
    4.76
    chers
    3.67
    chery
    2.57
    ches
    2.19
    ched
    1.99
    ching
    1.81
    che
    1.71
    chel
    1.45
    chen
    1.44
    chet
    1.38
    Activations Density 0.006%

    No Known Activations