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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. 4-RES-JB
    11. 18459
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    Explanations

    terms related to preparation and planning

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating preparation or action related to events or transitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     understatement
    -0.80
     exception
    -0.71
     Surprise
    -0.64
    etheless
    -0.63
    ãĥ
    -0.62
     caveat
    -0.60
    âĹı
    -0.59
    âĢİ
    -0.58
    ---------
    -0.58
     expectation
    -0.58
    POSITIVE LOGITS
    hunt
    0.79
     progresses
    0.76
     progressed
    0.68
    eking
    0.65
     thro
    0.65
    uberty
    0.65
    psey
    0.65
     recl
    0.64
     fades
    0.64
    estyles
    0.64
    Activations Density 0.337%

    No Known Activations