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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. 9-RES-JB
    11. 5775
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    Explanations

    phrases indicating uncertainty or the need to wait for more information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to anticipation or waiting for results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conceal
    -0.63
    anium
    -0.62
     nond
    -0.60
    acca
    -0.60
     relie
    -0.58
    pired
    -0.57
     disadvantage
    -0.56
     explorer
    -0.55
     pseudonym
    -0.54
    cknow
    -0.53
    POSITIVE LOGITS
     whether
    0.97
     how
    0.84
    whether
    0.83
     developments
    0.79
    abouts
    0.78
    meier
    0.76
    how
    0.68
     Whether
    0.66
    pherd
    0.66
    displayText
    0.66
    Activations Density 0.166%

    No Known Activations