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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. 15848
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    Explanations

    cause-and-effect relationships

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating cause-and-effect relationships

    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
    me
    -0.60
     outweigh
    -0.59
     shortest
    -0.59
     proverbial
    -0.58
     harb
    -0.58
     chore
    -0.58
    dr
    -0.58
     choke
    -0.57
    burning
    -0.56
     tert
    -0.55
    POSITIVE LOGITS
     meanwhile
    0.74
    zbek
    0.70
    kson
    0.65
    idents
    0.65
    CLASSIFIED
    0.64
    cknowled
    0.64
    ournal
    0.63
     Ending
    0.62
    aucus
    0.61
    ebus
    0.61
    Activations Density 0.307%

    No Known Activations