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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. 7-RES-JB
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    Explanations

    verbs related to achieving or being awarded in a competitive context

    oai_token-act-pair · gpt-3.5-turbo

    the usage of the word "have" in various contexts or constructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    most
    -0.64
    eem
    -0.64
    TG
    -0.64
     Anyway
    -0.61
    etting
    -0.59
    etter
    -0.57
    bart
    -0.57
     Apart
    -0.57
    old
    -0.56
    polit
    -0.56
    POSITIVE LOGITS
     been
    1.39
    been
    1.22
     undergone
    1.17
     gotten
    1.09
     arisen
    1.05
     fallen
    1.04
     risen
    1.00
     gone
    0.98
     flown
    0.95
     succumbed
    0.94
    Activations Density 0.171%

    No Known Activations