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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. 6889
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    Explanations

    phrases related to physical actions and efforts

    oai_token-act-pair · gpt-3.5-turbo
    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
     sponsoring
    -0.83
    quickShipAvailable
    -0.80
    cedented
    -0.77
    soType
    -0.74
     endorsing
    -0.73
     Nationwide
    -0.72
     mandated
    -0.72
     millenn
    -0.71
     endorsed
    -0.71
     costing
    -0.69
    POSITIVE LOGITS
     escape
    1.31
     crawl
    1.24
     breathe
    1.21
     climb
    1.20
     shove
    1.18
     chew
    1.16
     stare
    1.16
     retrieve
    1.15
     squeeze
    1.15
     fend
    1.14
    Activations Density 0.325%

    No Known Activations