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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. 11566
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    INDEX
    Explanations

    phrases or words related to events, invitations, and event organizers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of events

    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
    otomy
    -0.70
    sis
    -0.67
     algorithm
    -0.65
     algorithms
    -0.65
    ictionary
    -0.63
     Copy
    -0.62
    ths
    -0.62
     ammonia
    -0.61
     Leopard
    -0.61
     Maz
    -0.61
    POSITIVE LOGITS
     attendees
    1.08
     organisers
    1.07
     organizers
    1.02
    ivals
    1.01
    goers
    1.00
    uate
    0.94
    uated
    0.93
    uates
    0.93
    ful
    0.90
    ually
    0.88
    Activations Density 0.045%

    No Known Activations