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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. 2692
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    Explanations

    action-oriented verbs related to interacting with products or services

    oai_token-act-pair · gpt-3.5-turbo

    verbs associated with actions or commands

    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
    SPONSORED
    -0.70
    ]=
    -0.61
    mith
    -0.60
    )=
    -0.59
     disg
    -0.57
     disgr
    -0.57
     territ
    -0.57
    military
    -0.55
     constitu
    -0.55
    isal
    -0.54
    POSITIVE LOGITS
     Yourself
    1.18
     Your
    1.00
    ning
    0.98
    ings
    0.98
    ners
    0.97
    ments
    0.94
     yourself
    0.93
    ership
    0.90
    ing
    0.89
    quartered
    0.85
    Activations Density 0.247%

    No Known Activations