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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. 10314
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    Explanations

    phrases related to cleaning up or tidying

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to cleaning or tidying up

    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
    yip
    -0.81
    isSpecialOrderable
    -0.72
    ĺħ
    -0.70
    pport
    -0.70
    Support
    -0.70
    SPONSORED
    -0.70
    thood
    -0.67
    asin
    -0.66
     monop
    -0.66
     SAS
    -0.64
    POSITIVE LOGITS
     slate
    0.97
     polluted
    0.97
     toilets
    0.92
     stains
    0.92
     residue
    0.91
     mess
    0.91
     rubble
    0.88
     clutter
    0.86
     feces
    0.86
     floors
    0.85
    Activations Density 0.251%

    No Known Activations