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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. 3010
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    INDEX
    Explanations

    descriptive terms that express opinions or analysis

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to strong emotions, arguments, and observations

    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
    Delivery
    -0.62
    parts
    -0.62
     Attend
    -0.57
     srf
    -0.57
     Delivery
    -0.57
    admin
    -0.55
    dule
    -0.55
     UCH
    -0.54
    Bench
    -0.54
     RTX
    -0.53
    POSITIVE LOGITS
     coincides
    1.26
     contrasts
    1.21
     begs
    1.21
     ignores
    1.16
     culmin
    1.13
     applies
    1.13
     translates
    1.12
     echoes
    1.11
     extends
    1.11
     overlook
    1.10
    Activations Density 0.175%

    No Known Activations