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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. 8-RES-JB
    11. 425
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    Explanations

    words related to consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases indicating significant consequences or implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prefers
    -0.74
     consulted
    -0.73
    responsive
    -0.72
     motions
    -0.69
     liking
    -0.66
     crawling
    -0.64
     likes
    -0.64
     Occasionally
    -0.63
    tis
    -0.63
    accompanied
    -0.63
    POSITIVE LOGITS
    wcs
    0.78
     culmination
    0.74
    Merit
    0.74
     vind
    0.74
     legitim
    0.74
     renewed
    0.74
    ARK
    0.73
     reaff
    0.73
     deepening
    0.72
     acknowledgment
    0.72
    Activations Density 0.705%

    No Known Activations