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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. 6-RES-JB
    6. 10297
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    Explanations

    quotes among the text

    oai_token-act-pair · gpt-3.5-turbo

    quotations and dialogue in the text

    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
     bragging
    -0.75
     girlfriends
    -0.71
     nig
    -0.69
     whim
    -0.68
     Saiyan
    -0.66
    tumblr
    -0.65
     feud
    -0.64
     vacation
    -0.64
     pray
    -0.64
     pageant
    -0.64
    POSITIVE LOGITS
    olin
    0.82
    cosystem
    0.80
    itsch
    0.78
    Therefore
    0.78
    Finding
    0.77
    Understanding
    0.76
    atform
    0.75
    ulty
    0.75
    Prof
    0.75
    resso
    0.75
    Activations Density 0.316%

    No Known Activations