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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. 2-RES-JB
    11. 2425
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    Explanations

    exclamatory phrases expressing shock or disbelief

    oai_token-act-pair · gpt-3.5-turbo

    sentences that express confusion or surprise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.80
    itions
    -0.78
    atives
    -0.74
    rive
    -0.71
    izont
    -0.69
     positives
    -0.66
     corrid
    -0.65
     maiden
    -0.65
     skelet
    -0.65
    odor
    -0.64
    POSITIVE LOGITS
    ?!
    1.28
    #$
    0.89
     Huh
    0.88
     Seriously
    0.87
    ?,
    0.86
    !!
    0.85
    @#
    0.84
     ;)
    0.84
     Really
    0.83
     Why
    0.83
    Activations Density 0.005%

    No Known Activations