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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. 9-RES-JB
    11. 20763
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    Explanations

    references to water-related objects or substances

    oai_token-act-pair · gpt-3.5-turbo

    references to water

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eering
    -0.81
    Reloaded
    -0.68
    ificant
    -0.66
    ures
    -0.65
     millenn
    -0.65
    Files
    -0.64
     Rove
    -0.63
    pta
    -0.62
    ablishment
    -0.61
    asio
    -0.61
    POSITIVE LOGITS
    melon
    1.81
    tight
    1.35
    colour
    1.27
    falls
    1.22
    mel
    1.06
    color
    1.06
    proof
    1.05
    loo
    0.99
    marks
    0.97
     soluble
    0.97
    Activations Density 0.052%

    No Known Activations