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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. 7643
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    Explanations

    keywords related to topics or subjects of interest or importance in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific situations, cases, or contexts involving significant events or entities

    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
    assies
    -0.72
    eworks
    -0.71
    events
    -0.69
    vironments
    -0.65
    etsk
    -0.64
    hester
    -0.64
    apses
    -0.62
    azines
    -0.61
     Tropical
    -0.61
    izons
    -0.61
    POSITIVE LOGITS
     unto
    0.91
     worthy
    0.83
    starter
    0.76
     reminder
    0.76
     staple
    0.75
     hallmark
    0.72
     impossibility
    0.71
     magnet
    0.71
    inel
    0.70
    able
    0.70
    Activations Density 0.281%

    No Known Activations