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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. 3376
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    Explanations

    keywords related to raising questions, issues, concerns, and possibilities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "raise" and its variations in various contexts

    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
     Healer
    -0.75
    ician
    -0.65
    mir
    -0.64
    tery
    -0.62
    emp
    -0.62
     healer
    -0.61
     Crusher
    -0.61
    treatment
    -0.61
    ians
    -0.59
    obs
    -0.59
    POSITIVE LOGITS
     eyebrows
    1.53
     awareness
    1.15
     eyebrow
    1.10
     suspicions
    1.08
     doubts
    1.06
     alarms
    1.06
     concerns
    0.99
     questions
    0.98
     objections
    0.97
     expectations
    0.93
    Activations Density 0.059%

    No Known Activations