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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. 12389
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    Explanations

    words related to transportation infrastructure, particularly roads

    oai_token-act-pair · gpt-3.5-turbo

    references to roads and infrastructure development

    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
    ority
    -0.70
    IENT
    -0.66
    UAL
    -0.64
    onement
    -0.61
    atorium
    -0.61
    iator
    -0.58
    ARY
    -0.58
     Wong
    -0.58
    ERAL
    -0.57
    rius
    -0.56
    POSITIVE LOGITS
    cape
    1.16
    mith
    1.13
    chool
    1.04
    afety
    0.92
     roads
    0.92
    uggest
    0.91
     highways
    0.86
    paces
    0.85
    poons
    0.84
    ides
    0.84
    Activations Density 0.034%

    No Known Activations