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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. 6-RES-JB
    11. 17046
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    Explanations

    phrases referring to a specific quality or characteristic of an object or situation, emphasizing an observation or feeling about it

    oai_token-act-pair · gpt-3.5-turbo

    the word "about" indicating the discussion or exploration of various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    KO
    -0.75
    à¥
    -0.73
    ³³³³
    -0.72
    hiba
    -0.71
    emy
    -0.70
     disposed
    -0.69
    ------------------------
    -0.68
    âķIJâķIJ
    -0.67
    --------------------------------
    -0.67
    ¯¯
    -0.67
    POSITIVE LOGITS
    erous
    0.75
     Nug
    0.70
    lihood
    0.69
     calib
    0.65
    aleb
    0.61
    avorite
    0.61
     them
    0.60
     transformations
    0.59
     liking
    0.58
     atoms
    0.58
    Activations Density 0.067%

    No Known Activations