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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. 1-RES-JB
    11. 2465
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    Explanations

    phrases indicating conditional outcomes or contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate variability or conditionality in situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Niagara
    -0.73
    mary
    -0.73
     VIDEOS
    -0.68
    jc
    -0.68
    IDA
    -0.67
    OL
    -0.67
    Tok
    -0.67
    nels
    -0.66
     Samoa
    -0.65
     Cancer
    -0.65
    POSITIVE LOGITS
    soever
    0.93
    depending
    0.92
     depending
    0.89
     veter
    0.88
     arrang
    0.86
    oras
    0.82
     depended
    0.81
     agre
    0.81
     facult
    0.79
     occas
    0.78
    Activations Density 0.006%

    No Known Activations