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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. 11-RES-JB
    11. 16333
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    Explanations

    information related to news events and personal details about individuals, particularly in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to death and medical events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "—
    -0.97
    —"
    -0.91
    "),
    -0.90
    âī
    -0.86
     âī
    -0.86
    ").
    -0.85
    "âĢ¦
    -0.85
    .")
    -0.84
    /.
    -0.83
    "],
    -0.83
    POSITIVE LOGITS
     pictured
    1.35
     Pict
    1.22
    Scroll
    1.11
    pictured
    1.06
     Nasa
    0.98
    !'
    0.95
     favourite
    0.90
     whilst
    0.90
     CCTV
    0.90
     Whilst
    0.88
    Activations Density 0.713%

    No Known Activations