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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. 11156
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific and technical concepts, often in a medical or analytical context

    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
     embassies
    -0.73
     iPads
    -0.72
    theless
    -0.72
     bells
    -0.69
    earchers
    -0.67
     Sections
    -0.65
    liest
    -0.63
    clips
    -0.63
     iPhones
    -0.62
     balloons
    -0.61
    POSITIVE LOGITS
     regimen
    0.83
     standpoint
    0.80
    adan
    0.76
     scheme
    0.75
     system
    0.75
     environment
    0.75
     arrangement
    0.73
    load
    0.70
    ifier
    0.70
     deterrent
    0.69
    Activations Density 0.478%

    No Known Activations