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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. 7-RES-JB
    6. 10752
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    Explanations

    phrases related to destruction or attacks on infrastructure

    oai_token-act-pair · gpt-3.5-turbo

    measurements and quantities related to donations and resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Evangel
    -0.64
     presiding
    -0.61
     Citizen
    -0.59
     Colo
    -0.59
     Rural
    -0.53
     Citizens
    -0.53
     feudal
    -0.52
     Educ
    -0.52
     UNESCO
    -0.51
     Syri
    -0.51
    POSITIVE LOGITS
     increments
    0.81
     totaling
    0.78
     apiece
    0.77
    abytes
    0.74
    inately
    0.71
     averaged
    0.70
     evenly
    0.70
     perpend
    0.69
     totals
    0.69
     averaging
    0.68
    Activations Density 1.020%

    No Known Activations