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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. 17980
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    Explanations

    phrases related to event organization and logistics

    oai_token-act-pair · gpt-3.5-turbo

    references to specific events and their details

    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
    miah
    -0.79
     mang
    -0.79
     overpower
    -0.78
     obscure
    -0.77
     synthes
    -0.76
     tro
    -0.76
     foremost
    -0.74
     folklore
    -0.73
     crunch
    -0.73
    iscovered
    -0.73
    POSITIVE LOGITS
    Delivery
    1.27
     Offer
    1.20
    Valid
    1.18
    Minimum
    1.16
     Please
    1.13
    Registration
    1.12
    PLE
    1.12
    Please
    1.12
     Minimum
    1.11
     Pricing
    1.10
    Activations Density 0.397%

    No Known Activations