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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. 11-RES-JB
    11. 3905
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    Explanations

    mentions of benches or seating arrangements

    oai_token-act-pair · gpt-3.5-turbo

    references to "benches" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    actionDate
    -0.99
    arin
    -0.66
    SPONSORED
    -0.65
    Course
    -0.63
     Feder
    -0.62
    versely
    -0.61
    Bloomberg
    -0.61
     Masquerade
    -0.61
    ATING
    -0.60
    ETH
    -0.60
    POSITIVE LOGITS
    tops
    1.46
    top
    1.16
    lift
    1.07
    mark
    1.04
    marks
    0.98
    chair
    0.95
    iron
    0.94
    warm
    0.94
    marked
    0.93
    lain
    0.93
    Activations Density 0.069%

    No Known Activations