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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 10212
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    INDEX
    Explanations

    obstacles or challenges

    oai_token-act-pair · gpt-3.5-turbo

    terms related to challenges or impediments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    daq
    -0.86
    orp
    -0.77
    orpor
    -0.77
    orf
    -0.75
    entric
    -0.75
    otide
    -0.74
    zsche
    -0.74
    ersive
    -0.74
    esome
    -0.74
    orks
    -0.72
    POSITIVE LOGITS
     obstacle
    1.18
     obstacles
    1.13
     hurdles
    1.02
     barriers
    0.98
     impede
    0.92
     imped
    0.90
     hurdle
    0.88
     facing
    0.86
     obstruction
    0.86
     barrier
    0.85
    Activations Density 0.048%

    No Known Activations