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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. 3-RES-JB
    11. 218
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    Explanations

    words related to trains

    oai_token-act-pair · gpt-3.5-turbo

    mentions of trains or train-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erenn
    -0.82
    eff
    -0.71
    Ĥİ
    -0.71
     Alc
    -0.66
    osi
    -0.65
    theless
    -0.64
     presumptive
    -0.63
     Ambrose
    -0.62
     moot
    -0.61
     Mortal
    -0.60
    POSITIVE LOGITS
    wreck
    1.05
    roads
    0.95
     conductor
    0.95
     trains
    0.92
    girls
    0.89
     train
    0.86
     Tracks
    0.85
    ings
    0.85
    Train
    0.85
    loads
    0.84
    Activations Density 0.013%

    No Known Activations