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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. 8-RES-JB
    11. 10151
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    INDEX
    Explanations

    comparisons of how things are at present to how they were in the past

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating an increase in occurrences or intensity over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ename
    -0.83
     Cosponsors
    -0.77
    umbn
    -0.69
    elist
    -0.66
    ouri
    -0.66
    insk
    -0.65
    inated
    -0.64
    atchewan
    -0.64
    oes
    -0.64
    anchester
    -0.63
    POSITIVE LOGITS
     before
    1.02
     dreamed
    0.94
     BEFORE
    0.90
    before
    0.90
     imagined
    0.87
     imaginable
    0.83
     existed
    0.79
     anticipated
    0.78
     recorded
    0.76
    theless
    0.74
    Activations Density 0.016%

    No Known Activations