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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 10151
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    INDEX
    Explanations

    infinitive verb phrases representing future possibilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate likelihood or potential outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cius
    -0.74
    Tips
    -0.71
    Textures
    -0.68
     Managing
    -0.64
    anchester
    -0.64
    amps
    -0.62
    Lear
    -0.61
     Sporting
    -0.60
    Reporting
    -0.59
    anooga
    -0.58
    POSITIVE LOGITS
     be
    0.97
    benefit
    0.86
     reap
    0.84
     succeed
    0.81
     capitalize
    0.81
    otide
    0.81
     contam
    0.80
     coincide
    0.79
     disappoint
    0.79
     confuse
    0.78
    Activations Density 0.088%

    No Known Activations