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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. 10-RES-JB
    11. 16958
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    Explanations

    phrases related to limitations or constraints

    oai_token-act-pair · gpt-3.5-turbo

    negative assertions or impossibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.77
     snipp
    -0.65
     Signs
    -0.64
    senal
    -0.63
     Seeds
    -0.62
    bats
    -0.60
    heavy
    -0.59
     Sparrow
    -0.59
    flame
    -0.58
    Sense
    -0.58
    POSITIVE LOGITS
     afford
    1.55
     tolerate
    1.15
     rely
    1.09
     conceive
    1.05
     condone
    1.03
     withstand
    1.01
     guarantee
    1.01
     abide
    1.00
     exclude
    0.98
     ignore
    0.98
    Activations Density 0.054%

    No Known Activations