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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. 7-RES-JB
    11. 18054
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    Explanations

    years and time periods

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fy
    -0.71
    alties
    -0.69
    eers
    -0.68
    ographically
    -0.66
    ographers
    -0.65
    iary
    -0.62
    zu
    -0.62
    vu
    -0.60
    azz
    -0.59
    load
    -0.58
    POSITIVE LOGITS
     latter
    1.08
     entirety
    1.07
     midst
    0.99
     holidays
    0.99
     same
    0.92
     daytime
    0.88
     period
    0.88
     remainder
    0.84
     entire
    0.84
     darkest
    0.84
    Activations Density 0.088%

    No Known Activations