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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. 9-RES-JB
    11. 5795
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    Explanations

    mentions of specific dates and names in a journalistic context

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals or entities, particularly in a social media context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ).[
    -0.69
     technicians
    -0.66
     accelerated
    -0.64
     proble
    -0.63
     nineteen
    -0.63
    ''.
    -0.63
    ".[
    -0.63
     comprehensive
    -0.62
     dissip
    -0.62
     abundant
    -0.62
    POSITIVE LOGITS
    Jr
    1.18
    _
    1.04
    FB
    0.94
     @
    0.91
    __
    0.90
     congr
    0.87
    why
    0.87
    beer
    0.87
    UK
    0.84
    zek
    0.84
    Activations Density 0.088%

    No Known Activations