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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. 7-RES-JB
    11. 5036
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    Explanations

    events and social gatherings

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social gatherings and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seams
    -0.69
    aundering
    -0.66
    ãĥĥãĥī
    -0.64
    metics
    -0.62
     nutshell
    -0.61
     equations
    -0.61
    roach
    -0.60
     levers
    -0.60
     curv
    -0.59
     cracks
    -0.59
    POSITIVE LOGITS
    goers
    1.04
     attendees
    1.03
     attendance
    0.96
     pav
    0.89
    ivals
    0.88
     venue
    0.87
     organizers
    0.82
     honoring
    0.82
     hosted
    0.79
     invitation
    0.78
    Activations Density 0.260%

    No Known Activations