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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. 10-RES-JB
    11. 7096
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    Explanations

    specific mentions or references to time, dates, or occurrences

    oai_token-act-pair · gpt-3.5-turbo

    specific instances of notable events or occurrences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Others
    -0.64
    apa
    -0.64
     endif
    -0.63
     currents
    -0.63
    aintain
    -0.59
    Optional
    -0.59
     Others
    -0.58
    Other
    -0.57
    Else
    -0.57
     differ
    -0.56
    POSITIVE LOGITS
     February
    0.86
     December
    0.83
     January
    0.81
     2002
    0.80
     2009
    0.80
    when
    0.79
     2006
    0.79
     when
    0.79
     November
    0.79
    against
    0.78
    Activations Density 0.320%

    No Known Activations