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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. 9-RES-JB
    11. 13338
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    Explanations

    specific numbers related to quantities and measurements

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "to be" in various forms across different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sonian
    -0.80
    inventoryQuantity
    -0.71
     Relations
    -0.69
     Ples
    -0.67
     Nid
    -0.63
     Begins
    -0.62
     Ends
    -0.62
     Trafford
    -0.62
     haun
    -0.61
     Awakens
    -0.61
    POSITIVE LOGITS
     available
    1.08
     crammed
    1.07
     devoted
    1.05
     unaccount
    0.99
     listed
    0.93
     surveyed
    0.92
     allocated
    0.91
     required
    0.90
     registered
    0.88
     avail
    0.88
    Activations Density 0.182%

    No Known Activations