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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. 3-RES-JB
    11. 15510
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    INDEX
    Explanations
    No Explanations Found
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ŃĶ
    -0.84
    ¿½
    -0.76
    LOCK
    -0.73
    Ħ¢
    -0.73
    stuff
    -0.72
    ĸļ
    -0.72
     Dice
    -0.70
    Īè
    -0.69
    CRE
    -0.68
    Bit
    -0.68
    POSITIVE LOGITS
    vernment
    0.83
     misunder
    0.70
     psychiat
    0.64
     deficiency
    0.64
     prescriptions
    0.64
     stun
    0.62
     unemploy
    0.62
    agnetic
    0.61
     rooft
    0.61
     dissatisfaction
    0.61
    Activations Density 0.000%

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