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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. 10-RES-JB
    11. 5417
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    Explanations

    phrases related to political figures and events

    oai_token-act-pair · gpt-3.5-turbo

    key phrases related to significant historical figures and events

    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
    foreseen
    -0.85
     enrollment
    -0.78
     prelim
    -0.74
     enroll
    -0.73
    aily
    -0.72
     accompanying
    -0.71
     contiguous
    -0.71
     waivers
    -0.70
     hypothesized
    -0.70
    osponsors
    -0.69
    POSITIVE LOGITS
    He
    1.30
     He
    1.28
    His
    1.20
     Personally
    1.15
    Personally
    1.09
     His
    1.09
     he
    1.03
     Anyway
    1.03
     Honestly
    1.02
     Certainly
    1.02
    Activations Density 0.567%

    No Known Activations