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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. 22999
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    INDEX
    Explanations

    occurrences of the phrase "Meet the"

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to meetings or gatherings

    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
    wcs
    -0.72
    ciples
    -0.67
    SourceFile
    -0.67
    vernment
    -0.66
    etheless
    -0.65
    inth
    -0.64
    secution
    -0.63
     ende
    -0.62
    riber
    -0.61
    defense
    -0.61
    POSITIVE LOGITS
    ups
    1.10
    ings
    1.05
    up
    1.04
    amorph
    0.99
     ups
    0.81
    ãĤ¤ãĥĪ
    0.80
    agame
    0.75
    tle
    0.75
    eting
    0.74
    UP
    0.74
    Activations Density 0.043%

    No Known Activations