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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 8834
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    Explanations

    phrases related to specific times and locations within a broader context

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "the" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    payers
    -0.79
    olicy
    -0.76
    brate
    -0.75
    mania
    -0.74
    Reason
    -0.73
    acca
    -0.73
    hips
    -0.71
    WARD
    -0.71
    pointers
    -0.67
    JUST
    -0.67
    POSITIVE LOGITS
     midst
    1.47
     hallway
    1.33
     middle
    1.27
     courtyard
    1.27
     woods
    1.23
     vicinity
    1.23
     attic
    1.22
     meantime
    1.20
     basement
    1.15
     kitchen
    1.14
    Activations Density 0.173%

    No Known Activations