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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. 9779
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    Explanations

    words related to reflecting on past events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to retrospective and reflective analysis

    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
    yan
    -0.68
    aves
    -0.65
    ya
    -0.62
    unin
    -0.61
    Delivery
    -0.60
    gars
    -0.58
    PAC
    -0.58
    FL
    -0.57
    byn
    -0.57
     substances
    -0.56
    POSITIVE LOGITS
     hindsight
    1.28
     retrospect
    1.19
     nostalg
    1.00
    é¾įå¥ij士
    0.89
     replay
    0.79
    ives
    0.76
     recollection
    0.75
    ibility
    0.75
    spective
    0.74
    worthiness
    0.74
    Activations Density 0.026%

    No Known Activations