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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. 8-RES-JB
    11. 24089
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    Explanations

    words related to opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "think" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iona
    -0.81
    yna
    -0.76
    eding
    -0.73
    çĦ
    -0.66
    hew
    -0.65
    kw
    -0.65
    EStreamFrame
    -0.64
    acerb
    -0.62
    apeake
    -0.62
    wn
    -0.61
    POSITIVE LOGITS
     differently
    0.83
     about
    0.77
     provoking
    0.73
     aloud
    0.71
     it
    0.69
    phas
    0.69
    lessly
    0.68
     wrongly
    0.66
     incorrectly
    0.65
    orial
    0.64
    Activations Density 0.082%

    No Known Activations