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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. 2-RES-JB
    6. 22732
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liest
    -0.77
    liness
    -0.70
    ãĥ¼ãĥ«
    -0.68
    ly
    -0.65
    ugu
    -0.65
     scattering
    -0.64
    eways
    -0.63
    leness
    -0.63
    vation
    -0.63
    ciating
    -0.62
    POSITIVE LOGITS
    kw
    0.89
    Madison
    0.85
    taboola
    0.83
    ///
    0.80
    DOWN
    0.74
    hole
    0.74
    /**
    0.72
    Ping
    0.71
    âĶģ
    0.69
    KER
    0.69
    Activations Density 0.014%

    No Known Activations