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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. 10-RES-JB
    11. 5045
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    Explanations

    statements related to investigating and responding to allegations or issues of various types

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to investigations and assessing claims

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Untitled
    -0.76
    toggle
    -0.73
    orers
    -0.69
    Born
    -0.68
     Solitaire
    -0.68
     famously
    -0.66
    irement
    -0.64
     crammed
    -0.62
    utenberg
    -0.61
    oring
    -0.60
    POSITIVE LOGITS
     appropriate
    1.22
     accordingly
    1.07
     ASAP
    0.97
     remedies
    0.95
     corrective
    0.94
     procedures
    0.93
     enqu
    0.93
     inquiries
    0.92
    appropriate
    0.91
     Incident
    0.88
    Activations Density 0.441%

    No Known Activations