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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. 12-RES-JB
    11. 2463
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    INDEX
    Explanations

    planned events, schedules, and expectations

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases related to project timelines and expectations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ij士
    -0.84
    ŃĶ
    -0.76
    ĸļ
    -0.72
    ¿½
    -0.68
    ĨĴ
    -0.68
    hett
    -0.66
    ĪĴ
    -0.65
    Ĥ¬
    -0.64
    oleon
    -0.62
    ħĭ
    -0.62
    POSITIVE LOGITS
     sometime
    1.19
     within
    1.04
     soon
    1.04
     later
    0.97
     shortly
    0.96
     next
    0.93
     by
    0.91
     sooner
    0.86
     early
    0.82
     tomorrow
    0.81
    Activations Density 0.395%

    No Known Activations