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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. 1758
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    Explanations

    phrases indicating a desire or request for something

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing desires or wishes involving the verb "to"

    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
    rising
    -0.71
     newsp
    -0.71
    calling
    -0.68
     listings
    -0.60
     awaiting
    -0.60
     millenn
    -0.59
    quickShipAvailable
    -0.59
     arresting
    -0.59
    lip
    -0.59
     provoking
    -0.57
    POSITIVE LOGITS
     succeed
    1.18
     be
    1.15
     behave
    1.14
     realise
    1.07
     stay
    1.06
     know
    1.04
     realize
    1.01
     feel
    0.98
     become
    0.98
     adhere
    0.96
    Activations Density 0.130%

    No Known Activations