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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. 17215
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    Explanations

    phrases relating to specific conditions, requirements, or situations

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to compliance and societal norms

    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
    ¿½
    -0.60
    RIP
    -0.59
    AAA
    -0.58
    ratulations
    -0.56
    ZX
    -0.55
    allo
    -0.55
    Hur
    -0.55
    UNCH
    -0.54
    Was
    -0.54
     Was
    -0.53
    POSITIVE LOGITS
     deserve
    1.17
     tend
    1.17
     suffer
    1.06
     receive
    1.06
     aren
    1.04
     invariably
    1.02
     are
    1.01
     owe
    0.99
     must
    0.98
     reap
    0.98
    Activations Density 0.359%

    No Known Activations