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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. 1641
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    Explanations

    phrases related to missed opportunities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the phrase "would have"

    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
     fireball
    -0.63
    osa
    -0.59
     tracing
    -0.59
    ocol
    -0.58
    catentry
    -0.57
    anding
    -0.57
     muse
    -0.57
     rumor
    -0.56
    rift
    -0.56
     narrator
    -0.54
    POSITIVE LOGITS
     been
    1.18
    been
    1.07
     gotten
    1.00
     Been
    1.00
    gotten
    0.94
     taken
    0.86
     done
    0.84
     gone
    0.82
    Ģ
    0.81
    ŃĶ
    0.80
    Activations Density 0.102%

    No Known Activations