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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. 3861
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    Explanations

    occurrences of the preposition "in"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" across 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
    tons
    -0.69
    ··
    -0.65
     Sparrow
    -0.64
     Saints
    -0.61
    adelphia
    -0.60
    bugs
    -0.58
    OPLE
    -0.58
    neys
    -0.55
    entric
    -0.55
    paper
    -0.55
    POSITIVE LOGITS
     consequently
    0.71
    é¾įå
    0.69
    effect
    0.69
     importantly
    0.69
    versely
    0.68
     streng
    0.64
    CONCLUS
    0.64
     consequ
    0.63
    ked
    0.63
     confir
    0.62
    Activations Density 0.197%

    No Known Activations