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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. 10596
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    Explanations

    information related to events and gatherings

    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 @ 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
    sis
    -0.71
    zik
    -0.68
     porous
    -0.67
     Helpful
    -0.66
    oglu
    -0.64
    Äĩ
    -0.64
    etheless
    -0.64
     Copy
    -0.64
    aundering
    -0.63
    vern
    -0.63
    POSITIVE LOGITS
     organisers
    1.08
     attendees
    1.04
     organizers
    0.98
    goers
    0.94
    ivals
    0.92
     event
    0.90
     organizer
    0.85
    uate
    0.85
    uates
    0.85
     events
    0.84
    Activations Density 0.029%

    No Known Activations