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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. 11410
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    Explanations

    the word "this" followed by a specific context or action

    oai_token-act-pair · gpt-3.5-turbo

    references to specific moments or points in time

    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
    isms
    -0.73
    mans
    -0.67
    usercontent
    -0.66
    onto
    -0.63
    pots
    -0.63
    mor
    -0.62
     las
    -0.62
    amental
    -0.59
    bugs
    -0.58
    adas
    -0.58
    POSITIVE LOGITS
    yout
    0.77
     Gutenberg
    0.77
    initialized
    0.72
    enture
    0.66
    erva
    0.65
    yden
    0.63
     backdrop
    0.62
    oother
    0.62
     synopsis
    0.61
     scenario
    0.61
    Activations Density 0.197%

    No Known Activations