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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. 3-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to scientific research and community engagement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Weiner
    -0.66
    âĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪâĸĪ
    -0.65
     scrut
    -0.64
     sidx
    -0.62
     Gamble
    -0.61
     entrants
    -0.61
     Garner
    -0.60
     Weld
    -0.59
     Parenthood
    -0.58
     Shel
    -0.58
    POSITIVE LOGITS
    _
    1.00
    _-_
    0.97
    /?
    0.94
    /)
    0.94
    __
    0.86
    /#
    0.85
    "},{"
    0.82
    _(
    0.81
    arthed
    0.80
    ","
    0.80
    Activations Density 0.173%

    No Known Activations