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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. 19751
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    Explanations

    short phrases enclosed in quotation marks

    oai_token-act-pair · gpt-3.5-turbo

    instances of quoted statements or phrases

    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
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    Negative Logits
     skelet
    -0.84
     pit
    -0.78
     purse
    -0.71
     slam
    -0.71
     suspic
    -0.68
    kw
    -0.68
     hug
    -0.67
     coh
    -0.67
     mull
    -0.66
    »Ĵ
    -0.65
    POSITIVE LOGITS
     Whilst
    1.09
     Firstly
    0.92
    Firstly
    0.91
     Alternatively
    0.85
     fixme
    0.82
    ablishment
    0.81
     Seems
    0.79
     However
    0.79
     Therefore
    0.78
    amazon
    0.78
    Activations Density 0.031%

    No Known Activations