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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. 10675
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    Explanations

    phrases related to acceptance and adoption of concepts or ideas

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word 'embrace' and its variations, indicating a focus on acceptance and integration

    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
    ammy
    -0.74
    akov
    -0.70
    opers
    -0.70
    etry
    -0.68
    vertisement
    -0.66
    \-
    -0.65
    cards
    -0.64
    iasis
    -0.64
    ighters
    -0.63
    DragonMagazine
    -0.62
    POSITIVE LOGITS
     uncond
    0.73
     multicultural
    0.73
     diversity
    0.72
     femin
    0.69
     whichever
    0.67
     specialization
    0.67
     embrace
    0.65
     heterogeneity
    0.64
    tails
    0.62
     embraces
    0.61
    Activations Density 0.035%

    No Known Activations