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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. 9013
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    Explanations

    words related to cleaning or intense physical actions

    oai_token-act-pair · gpt-3.5-turbo

    specific actions or conditions, particularly involving movement and physical states

    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
    ³³³³³³³³³³³³³³³³
    -0.65
    SPONSORED
    -0.64
     Bene
    -0.64
     Supreme
    -0.62
     antioxid
    -0.61
     precedent
    -0.59
     payable
    -0.59
    Constructed
    -0.59
     HF
    -0.58
     Aad
    -0.57
    POSITIVE LOGITS
    ting
    2.29
    ters
    1.86
    ted
    1.76
    bing
    1.65
    ding
    1.61
    ned
    1.49
    bed
    1.46
    ming
    1.43
    med
    1.42
    ter
    1.41
    Activations Density 0.227%

    No Known Activations