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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. 6-RES-JB
    11. 15490
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    Explanations

    instances of the word "go" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    the token "go" in various contexts within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aram
    -0.73
    lake
    -0.65
     ammon
    -0.62
     Topic
    -0.62
    sonian
    -0.61
    baugh
    -0.61
    topic
    -0.60
    race
    -0.59
    mith
    -0.59
    tymology
    -0.59
    POSITIVE LOGITS
    vernment
    1.05
    verning
    0.96
    ardless
    0.92
    ogly
    0.88
    ffic
    0.83
    ption
    0.83
    etz
    0.81
    eff
    0.80
    ven
    0.78
    ctors
    0.78
    Activations Density 0.013%

    No Known Activations