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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. 2-RES-JB
    11. 4358
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    Explanations

    text related to compression and physical pressure

    oai_token-act-pair · gpt-3.5-turbo

    terms related to compression and compressed materials or substances

    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
    guyen
    -0.98
    ket
    -0.95
    mares
    -0.77
    soever
    -0.74
    abad
    -0.74
    verty
    -0.74
    ñ
    -0.71
    ña
    -0.71
    velt
    -0.70
    mberg
    -0.69
    POSITIVE LOGITS
     compress
    1.19
     compression
    1.17
     compressed
    1.05
     decomp
    1.02
     compressor
    0.95
    ractor
    0.82
    ressed
    0.79
     codec
    0.78
     sleeves
    0.76
    ilation
    0.75
    Activations Density 0.011%

    No Known Activations