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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. 16611
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    Explanations

    terms related to data encoding and decoding

    oai_token-act-pair · gpt-3.5-turbo

    terms related to data encoding and decoding processes

    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
    giving
    -0.80
    inness
    -0.73
    profit
    -0.73
    iability
    -0.72
    alsh
    -0.70
    zanne
    -0.69
    lv
    -0.69
    dash
    -0.69
    ivot
    -0.68
    lying
    -0.67
    POSITIVE LOGITS
     encoded
    1.27
     encoding
    1.19
     encode
    1.12
    oded
    1.05
     codec
    0.94
    oding
    0.92
    ãĥĥãĥī
    0.89
     decoding
    0.86
     encrypted
    0.84
     defe
    0.84
    Activations Density 0.009%

    No Known Activations