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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. 4-RES-JB
    11. 20705
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    Explanations

    proper nouns or abbreviations related to medical terms or technology

    oai_token-act-pair · gpt-3.5-turbo

    references to specific substances or products, particularly related to calcium channels

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

    No Comments

    Negative Logits
    esville
    -0.80
    gdala
    -0.76
    luaj
    -0.76
    iary
    -0.74
     Bam
    -0.71
     Gutenberg
    -0.71
     Wand
    -0.71
    ique
    -0.68
    riad
    -0.67
    ropolitan
    -0.67
    POSITIVE LOGITS
    andom
    1.02
    aditional
    0.95
    idge
    0.94
    ategy
    0.94
    senal
    0.93
    acker
    0.92
    ategic
    0.92
    uler
    0.86
    addle
    0.86
    adish
    0.85
    Activations Density 0.011%

    No Known Activations