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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. 6-RES-JB
    11. 1470
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    Explanations

    past events that have finally come to a resolution or completion

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating achievement or completion of tasks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     varied
    -0.65
    conom
    -0.64
    Spread
    -0.64
     Slate
    -0.62
     multiplier
    -0.62
     fluct
    -0.61
     constantly
    -0.60
     disproportionately
    -0.59
     Thib
    -0.58
     Vine
    -0.57
    POSITIVE LOGITS
    ped
    0.71
     reunited
    0.71
    onso
    0.70
     relent
    0.69
     exoner
    0.66
     closure
    0.64
     reun
    0.64
    izable
    0.64
     reconciliation
    0.64
     finally
    0.63
    Activations Density 0.144%

    No Known Activations