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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. 18610
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    INDEX
    Explanations

    phrases indicating a contrast or contradiction to some stated beliefs or expectations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that challenge popular beliefs or narratives

    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
    eport
    -0.83
    ahead
    -0.81
    estones
    -0.80
    iless
    -0.74
    enary
    -0.74
    erning
    -0.71
    gins
    -0.71
    hene
    -0.71
    pan
    -0.71
    between
    -0.70
    POSITIVE LOGITS
     expectations
    1.08
     belief
    0.98
     expectation
    0.94
     stereotype
    0.92
     stereotypes
    0.88
     popular
    0.87
     suggestion
    0.84
     intuition
    0.82
     appearances
    0.82
     assertions
    0.81
    Activations Density 0.059%

    No Known Activations