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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. 6334
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    Explanations

    phrases indicating the need for preparation before taking certain actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to taking action after careful consideration or prior steps

    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
    rather
    -0.73
    ccording
    -0.70
    ĸļ
    -0.69
     millenn
    -0.66
    among
    -0.65
    avoid
    -0.61
     preserved
    -0.61
    while
    -0.60
     abbre
    -0.59
    <?
    -0.58
    POSITIVE LOGITS
     anymore
    0.99
     any
    0.88
     anything
    0.87
     anyone
    0.79
     anybody
    0.77
     Sabha
    0.72
     conclusions
    0.72
     hostilities
    0.72
    anything
    0.72
    ittal
    0.71
    Activations Density 0.215%

    No Known Activations