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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 6647
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    INDEX
    Explanations

    phrases related to certainty and action

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases emphasizing what one can expect or receive

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     strikingly
    -0.60
    xtap
    -0.59
     Cosponsors
    -0.57
    orically
    -0.56
     Gallup
    -0.56
    zsche
    -0.54
    ourse
    -0.52
     Historically
    -0.52
    earcher
    -0.52
     anecd
    -0.51
    POSITIVE LOGITS
    â̦."
    0.88
     gonna
    0.86
    )."
    0.86
    â̦"
    0.84
    ..."
    0.84
    ))))
    0.82
     fuckin
    0.80
    -"
    0.79
    .'"
    0.79
     â̦"
    0.78
    Activations Density 1.082%

    No Known Activations