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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. 1-RES-JB
    11. 13479
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    Explanations

    words related to liners or lining

    oai_token-act-pair · gpt-3.5-turbo

    references to liners and related terms in watercraft or liquid containment contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fighters
    -0.74
    doms
    -0.71
    ropy
    -0.69
    achu
    -0.68
    shire
    -0.67
    ozy
    -0.66
    orno
    -0.64
    frog
    -0.64
    assetsadobe
    -0.63
    ea
    -0.61
    POSITIVE LOGITS
     liner
    0.97
     spac
    0.90
    early
    0.82
     lin
    0.75
    ques
    0.72
    flo
    0.71
    fre
    0.70
    ped
    0.68
     Spac
    0.66
    hooting
    0.66
    Activations Density 0.018%

    No Known Activations