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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. 11-RES-JB
    11. 4801
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    Explanations

    phrases indicating things already mentioned or plans to be discussed further in the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference prior actions or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dragonbound
    -0.69
    yss
    -0.60
    iever
    -0.59
     cancell
    -0.59
    venge
    -0.58
    imately
    -0.58
     holiest
    -0.57
     renewal
    -0.57
     orders
    -0.57
     FIR
    -0.57
    POSITIVE LOGITS
     mentioned
    1.40
     discussed
    1.30
     alluded
    1.26
     outlined
    1.25
     summarized
    1.23
     highlighted
    1.23
     summar
    1.19
    mentioned
    1.16
     illustrated
    1.13
     mention
    1.12
    Activations Density 0.223%

    No Known Activations