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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. 4-RES-JB
    11. 9427
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    Explanations

    phrases or words that indicate a significant extent, range, or duration

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing extent or coverage over a certain area or time

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

    No Comments

    Negative Logits
     aspir
    -0.74
    appointed
    -0.66
     heirs
    -0.65
    illard
    -0.65
    iasis
    -0.65
    Parents
    -0.64
     contend
    -0.61
    liction
    -0.60
     obedient
    -0.60
     clicked
    -0.60
    POSITIVE LOGITS
     spanning
    0.89
    ĸļ
    0.84
    ãĤ¼ãĤ¦ãĤ¹
    0.83
     spans
    0.82
    tnc
    0.78
    pread
    0.78
     Macy
    0.75
    ength
    0.74
     Afric
    0.74
    APH
    0.74
    Activations Density 0.022%

    No Known Activations