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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. 10-RES-JB
    11. 1067
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    INDEX
    Explanations

    opinions and beliefs expressed in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances 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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yna
    -0.83
    EStreamFrame
    -0.78
    iona
    -0.76
    oubted
    -0.73
    Redditor
    -0.70
    estern
    -0.69
    etermined
    -0.68
    kw
    -0.67
    ulia
    -0.67
    cue
    -0.66
    POSITIVE LOGITS
     differently
    1.01
     twice
    0.90
     otherwise
    0.87
     alike
    0.84
     they
    0.80
    fully
    0.75
     it
    0.74
     that
    0.74
    lessly
    0.72
     provoking
    0.71
    Activations Density 0.073%

    No Known Activations