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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. 19641
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    Explanations

    phrases related to proposing or discussing solutions to various problems and issues

    oai_token-act-pair · gpt-3.5-turbo

    references to solutions or answers to specific problems or questions

    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
    estial
    -0.79
     GOODMAN
    -0.74
    iaries
    -0.73
    bah
    -0.70
    ants
    -0.68
    eder
    -0.67
    acements
    -0.67
    prints
    -0.67
    Benef
    -0.66
    orig
    -0.66
    POSITIVE LOGITS
     solving
    0.98
     resolving
    0.86
     solve
    0.85
     satisfy
    0.83
     fixing
    0.83
     tackling
    0.76
    iling
    0.75
     combating
    0.75
     avoiding
    0.74
     unlocking
    0.74
    Activations Density 0.114%

    No Known Activations