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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. 11-RES-JB
    11. 14648
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    Explanations

    phrases related to future actions or expectations

    oai_token-act-pair · gpt-3.5-turbo

    future-oriented auxiliary verbs and modal verbs expressing possibility or intention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    76561
    -0.81
     inventive
    -0.65
     cultivating
    -0.62
     stealing
    -0.61
    Building
    -0.61
     cherished
    -0.61
     imitation
    -0.61
     Brilliant
    -0.61
    ares
    -0.59
     counterfe
    -0.59
    POSITIVE LOGITS
     determine
    1.15
     hinge
    1.12
     expire
    1.08
     decide
    1.05
     coincide
    1.05
     arrive
    1.05
     notify
    1.04
     await
    1.02
     commence
    0.99
     announce
    0.98
    Activations Density 0.144%

    No Known Activations