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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. 7-RES-JB
    11. 2177
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    Explanations

    instances of events happening, actions being taken, or developments occurring

    oai_token-act-pair · gpt-3.5-turbo

    instances of events and actions involving individuals in various situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inho
    -0.76
    quote
    -0.75
    endif
    -0.75
     Magicka
    -0.73
    Laughs
    -0.70
    ][/
    -0.70
    Anyway
    -0.69
     Lisp
    -0.68
     Anyway
    -0.67
    ntil
    -0.65
    POSITIVE LOGITS
     failed
    1.00
     botched
    0.91
     unsuccessful
    0.87
     unexpectedly
    0.85
     alleged
    0.79
     surfaced
    0.77
     accidentally
    0.77
     mistakenly
    0.75
     suspected
    0.75
     mysteriously
    0.75
    Activations Density 0.354%

    No Known Activations