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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. 3-RES-JB
    11. 4425
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    Explanations

    terms related to valuable or historical objects

    oai_token-act-pair · gpt-3.5-turbo

    references to relics and artifacts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oÄŁ
    -0.87
    estern
    -0.87
    Arab
    -0.79
    orth
    -0.74
    kers
    -0.74
    imov
    -0.73
    liam
    -0.70
    pun
    -0.69
    antha
    -0.69
    pressure
    -0.69
    POSITIVE LOGITS
     relics
    1.20
     relic
    1.10
     Relic
    0.89
    glass
    0.82
    collection
    0.78
     reminders
    0.77
     collectors
    0.76
     collector
    0.75
     specimens
    0.75
    abilia
    0.74
    Activations Density 0.023%

    No Known Activations