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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. 13713
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    Explanations

    phrases related to historical references or titles containing words like "history" or "book"

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate historical context

    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
    roo
    -0.69
     discriminate
    -0.69
    ayed
    -0.65
     dim
    -0.63
     prox
    -0.62
     bases
    -0.61
     edge
    -0.60
     discriminating
    -0.60
     encro
    -0.59
     predators
    -0.58
    POSITIVE LOGITS
    Letter
    0.84
     Letters
    0.80
     titled
    0.76
    andum
    0.75
     Lessons
    0.75
     Regarding
    0.74
     outlining
    0.74
     summarizes
    0.74
     Papers
    0.73
    accompanied
    0.72
    Activations Density 0.570%

    No Known Activations