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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. 11170
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    Explanations

    phrases related to taking advantage of situations or opportunities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate taking advantage of a situation or opportunity

    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
    Not in Any Lists

    No Comments

    Negative Logits
    don
    -0.77
    sis
    -0.71
    heres
    -0.66
    odd
    -0.66
    head
    -0.64
    cone
    -0.64
     panc
    -0.63
    chi
    -0.62
    andro
    -0.61
    area
    -0.61
    POSITIVE LOGITS
    ously
    0.76
    isance
    0.75
    ful
    0.74
    ocobo
    0.73
    uristic
    0.73
    eering
    0.72
    fully
    0.70
     fixme
    0.70
    udo
    0.69
    FUL
    0.67
    Activations Density 0.012%

    No Known Activations