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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. 2309
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    Explanations

    phrases related to information or commands in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    negative sentiment or expressions of discontent

    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
     Dickinson
    -0.78
    earch
    -0.73
    pec
    -0.67
     pivot
    -0.62
     bounds
    -0.61
     Sik
    -0.60
     emoji
    -0.59
     practice
    -0.58
    esson
    -0.58
     parsed
    -0.58
    POSITIVE LOGITS
    sama
    1.14
    =-=-=-=-=-=-=-=-
    1.07
    _-
    0.98
    bodied
    0.95
    sized
    0.92
    mediated
    0.91
    based
    0.89
    *=-
    0.86
    =-=-=-=-
    0.84
    themed
    0.82
    Activations Density 0.195%

    No Known Activations