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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    instances of the word "collect" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "collect" and its variations in various contexts

    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
    forth
    -0.72
    witz
    -0.66
    pher
    -0.65
    minent
    -0.62
    ned
    -0.62
    igmat
    -0.61
     Kardashian
    -0.61
    ":"/
    -0.60
    mia
    -0.59
     wrench
    -0.58
    POSITIVE LOGITS
     signatures
    1.02
    ibles
    0.88
    ivist
    0.87
    ively
    0.85
     royalties
    0.84
     dues
    0.84
     dust
    0.82
    ennial
    0.81
    STON
    0.77
     collected
    0.77
    Activations Density 0.049%

    No Known Activations