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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 3122
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    Explanations

    keywords related to strengthening and fortifying, especially in the context of security and regulations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to strengthening or bolstering defenses and positions

    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
     Wonderland
    -0.79
    utan
    -0.72
     incidentally
    -0.72
     Loft
    -0.70
    ogg
    -0.69
     Deaths
    -0.68
    inea
    -0.65
     baths
    -0.64
     births
    -0.63
     eternity
    -0.62
    POSITIVE LOGITS
     defenses
    1.20
     defences
    1.18
     foothold
    1.06
     resilience
    1.03
     deterrent
    0.99
     deterrence
    0.98
     morale
    0.96
     defense
    0.94
     cohesion
    0.93
     grip
    0.93
    Activations Density 0.445%

    No Known Activations