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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. 6-RES-JB
    11. 3604
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    Explanations

    a determiner 'a' followed by a noun

    oai_token-act-pair · gpt-3.5-turbo

    the article "a" or "an" and its frequency in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    words
    -0.70
     aloud
    -0.69
    tests
    -0.68
    Edit
    -0.67
     Blacks
    -0.67
     Acts
    -0.65
    Rules
    -0.65
    tm
    -0.64
    Events
    -0.63
    letters
    -0.62
    POSITIVE LOGITS
     lot
    1.26
     plethora
    1.19
     tremendous
    1.07
     considerable
    1.06
     bunch
    1.03
     substantial
    1.03
     glimpse
    1.02
     sizeable
    1.00
     huge
    1.00
     sizable
    0.97
    Activations Density 0.265%

    No Known Activations