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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. 3-RES-JB
    11. 9569
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    INDEX
    Explanations

    mentions of educational degrees

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or acronyms, particularly those related to education or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chak
    -0.73
    bow
    -0.69
    wave
    -0.67
    fruit
    -0.65
    auga
    -0.65
    ãĥ£
    -0.64
    ãĤ§
    -0.63
    ãĤ©
    -0.62
    strength
    -0.62
    weather
    -0.62
    POSITIVE LOGITS
    nesday
    1.17
    dit
    1.05
    ERAL
    0.96
    ragon
    0.92
    BACK
    0.92
    ouble
    0.92
     confir
    0.91
    ict
    0.88
    OWN
    0.87
    DIT
    0.87
    Activations Density 0.012%

    No Known Activations