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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. 9-RES-JB
    11. 15613
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    keywords related to names or titles

    oai_token-act-pair · gpt-3.5-turbo

    the conjunction "and" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WARN
    -0.78
    Thumbnail
    -0.67
    SPONSORED
    -0.63
     satell
    -0.61
    #$
    -0.61
     dodge
    -0.60
    lectic
    -0.60
     prey
    -0.59
     fasc
    -0.59
     ABE
    -0.59
    POSITIVE LOGITS
    erers
    1.20
    erer
    1.06
    emonium
    1.05
    romeda
    1.03
    ahar
    1.03
    owsky
    1.02
    hra
    0.99
    rogen
    0.98
    idate
    0.96
    alf
    0.95
    Activations Density 0.040%

    No Known Activations