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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 6844
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    Explanations

    terms related to technological delays or lags

    oai_token-act-pair · gpt-3.5-turbo

    terms related to delays or slow performance in technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.67
    IBLE
    -0.66
    uclear
    -0.64
     Musical
    -0.64
    )].
    -0.62
    ACTED
    -0.62
    ä½ľ
    -0.61
    åº
    -0.61
     Dangerous
    -0.61
    MT
    -0.60
    POSITIVE LOGITS
     lag
    1.38
    oon
    1.07
    uten
    0.98
    arde
    0.92
    boa
    0.84
     Lag
    0.82
    poke
    0.78
    lag
    0.77
    unda
    0.76
    omorph
    0.76
    Activations Density 0.004%

    No Known Activations