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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. 11-RES-JB
    11. 9450
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    Explanations

    references to food and grocery-related activities and items

    oai_token-act-pair · gpt-3.5-turbo

    references to shopping or retail environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roup
    -0.61
    afort
    -0.59
    Reloaded
    -0.58
    ranging
    -0.58
    Reviewer
    -0.58
    cul
    -0.58
    prim
    -0.57
     Species
    -0.56
    External
    -0.56
     Vessel
    -0.56
    POSITIVE LOGITS
     anymore
    1.01
     or
    0.90
     tomorrow
    0.83
    washer
    0.79
     screaming
    0.77
     clutching
    0.77
     waving
    0.75
    arettes
    0.74
     goodbye
    0.74
     sweating
    0.72
    Activations Density 0.812%

    No Known Activations