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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. 4-RES-JB
    11. 2536
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    Explanations

    connectors before pointing out factual information or truth

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of "the fact that."

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

    No Comments

    Negative Logits
     throats
    -0.76
    avorite
    -0.75
    airs
    -0.71
     throat
    -0.69
    itsch
    -0.68
     lungs
    -0.67
    isoft
    -0.65
     Crown
    -0.63
    CRIP
    -0.63
     charcoal
    -0.63
    POSITIVE LOGITS
    ually
    1.19
    ional
    1.06
    orial
    1.05
    uality
    1.01
    itious
    0.98
    oids
    0.92
    icity
    0.90
    uate
    0.86
    ual
    0.86
    uated
    0.86
    Activations Density 0.023%

    No Known Activations